Loading

Annals of Clinical Pathology

Reducing the Use of Sentinel Lymph Node Biopsies and the Upstage Rate in Patients with a Ductal Carcinoma in Situ Biopsy, We Are Not There Yet

Research Article | Open Access | Volume 13 | Issue 1
Article DOI :

  • 1. Laboratory of Pathology Dordrecht, The Netherlands
  • 2. Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, The Netherlands
  • 3. Department of Surgery, Albert Schweitzer Hospital, The Netherlands
  • 4. Department of Research and Development, Netherlands Comprehensive Cancer Centre Organisation, The Netherlands
+ Show More - Show Less
Corresponding Authors
Pieter J. Westenend, Laboratory of Pathology Dordrecht, The Netherlands, Tel: 0031-78- 6542100
Abstract

In February 2024 the EUSOMA introduced a new quality indicator for patients with ductal carcinoma in situ (DCIS) treated by breast conserving surgery (BCS). The proportion of patients without a Sentinel Lymph Node Biopsy (SLNB) was set at 90% with a minimum of 80%. Additionally, it was suggested that the upstage rate can be as low as 7-11% The purpose of this study was to evaluate the SLNB rate, the upstage rate, and metastasis rate in a large cohort of both BCS and mastectomy treated patients. Patients aged <18 years, with a DCIS biopsy were selected from the nationwide automated pathology archive (PALGA) and the Netherlands Cancer registry. Cut-off values, at which the proportion of patients without a SLNB would be less than 80%, were defined based on upstage rate and metastasis rate using previously published prediction models. Of 2269 patients, 1526 were treated with BCS. Of these, 50% did not have a SLNB, while the upstage rate was 13.2% (vacuum-assisted biopsies (VAB) 10.6%, core-needle biopsies (CNB) 20.4%). The metastasis rate was 1.0% (VAB 0.7%, CNB 2.1%). In 743 patients treated by mastectomy 2.7% did not have a SLNB, the upstage rate was 26% (VAB 19%, CNB 35%) and the metastasis rate was 4.4% (VAB 3%, CNB 6 %). At a cut-off value of 16.8% in the upstage model and of 3.9% in the metastasis model the target of more than 80% of patients without a SLNB can be achieved for patients treated by BCS or mastectomy The use of SLNB in patients with DCIS biopsy treated by BCS is well above the target set by EUSOMA. Prediction models may be helpful to further reduce the use of SLNB. The universal use of VAB will further reduce the upstage rate and metastasis rate. Although the risk of upstaging and metastasis is higher in patients undergoing mastectomy compared to those treated by BCS, the risk of metastasis is low and also in these patients the SLNB rate can be reduced.

Keywords

• Ductal carcinoma in situ

• Sentinel lymph node biopsy

• EUSOMA

• Quality Indicator

Citation

Westenend PJ, Meurs CJC, Menke-Pluijmers MBE, Siesling S (2026) Reducing the Use of Sentinel Lymph Node Biopsies and the Upstage Rate in Patients with a Ductal Carcinoma in Situ Biopsy, We Are Not There Yet. Ann Clin Pathol 13(1): 1183.

INTRODUCTION

Patients with a needle biopsy diagnosis of ductal carcinoma in situ (DCIS) are at risk of upstaging to invasive cancer in the surgical specimen. A meta-analysis reported a pooled estimate of 25.9% of patients upstaged to invasive cancer [1]. As far as we know, the lowest reported upstage rate is 14% [2]. Because of the risk of upstaging, several international guidelines recommend a sentinel lymph node biopsy (SLNB) in selected high risk patients treated by breast conserving surgery (BCS) [3-5]. Although there is a considerable overlap in what these guidelines consider risk factors, it is often unclear how many risk factors should be present to label a patient as high risk or if the risk factors are equally important [6]. Some guidelines like the ASCO guideline even recommend that a SLNB can be omitted in patients treated with BCS [7,8].

The recently updated EUSOMA set of quality indicators for early non-metastatic breast cancer introduces a new indicator for the use of SLNB in patients with a DCIS biopsy [9]. In patients who underwent BCS, the target is that 90% should not have had a SLNB, with a minimum of 80%. One argument for this low target of SLNB usage is that the risk of upstaging to invasive cancer can be as low as 7-11%. Based on a study by Zetterlund et al., it is also stated that the metastasis rate in patients with DCIS is less than 1% [10]. However, this study reports the metastasis rate in patients with a final diagnosis of DCIS, so by definition patients with a DCIS biopsy that is upstaged to invasive cancer are excluded. Furthermore, the EUSOMA did not set a target for the SLNB rate in patients treated by mastectomy.

In the past, our study group has studied two large cohorts of patients with a DCIS biopsy and developed and validated prediction models for the upstage rate and the metastasis rates [11-13]. In these studies, data from patients treated by BCS and mastectomy were combined and we did not report the SLNB rate. The aim of the present study was to analyze the upstage, SLNB and the metastasis rates separately for patients treated by BCS or mastectomy. In addition, we investigated whether the prediction models we have developed could be helpful in reducing the use of the SLNB: at what risk of upstaging or metastasis is the use of SLNB reduced to the minimum target of 80% set by the EUSOMA? Furthermore, it has been known for years that the upstage rate is influenced by the type of biopsy device: core needle or vacuum-assisted [1]. Therefore, we stratified for the biopsy device to determine the influence on upstage rate.

PATIENTS AND METHODS

The present analysis is based on the cohort we previously used for the validation of a prediction model for upstaging [13,14]. In short, 2269 patients >18 years of age with a biopsy diagnosis of DCIS between July 2016 and March 2019 were selected from the Dutch Pathology Registry (PALGA) including the results of the operation specimen. Additional clinical data were obtained by linkage to the Netherlands Cancer Registry.

Three outcomes; SLNB rate, the upstage rate, and the metastasis rate, were calculated separately for patients treated with BCS or mastectomy. We further explored the effect of the type of biopsy core needle biopsy or vacuum assisted biopsy, on the three outcomes.

The risk of upstaging and metastasis were determined using pre-developed prediction models. These prediction models can be found online (www.evidencio.com, Meurs et al). A cut-off value for the risk of upstaging or metastasis at which the target of at least 80% of patients not undergoing SLNB, was found by trial and error. Since the EUSOMA quality indicator makes a distinction between BCS and mastectomy, we did this separately for both groups.

RESULTS

Of the 2269 patients included in the study, 1562 (69%) were treated with BCS and 743 (31%) with mastectomy (Table 1).

Table 1. Characteristics of patients treated by BCS or mastectomy.

Variable

Value

BCS

 

Mastectomy

 

p-value

 

 

N

(%)

n

(%)

 

Age

 

 

 

 

 

 

<= 58

717

(47%)

371

(50%)

0.19

 

>= 59

809

(53%)

372

(50%)

 

Detection

 

 

 

 

<0.001

 

Screening

1139

(75%)

391

(53%)

 

 

Otherwise

387

(25%)

352

(47%)

 

Palpable

 

 

 

 

<0.001

 

No

1373

(90%)

521

(70%)

 

 

Yes

153

(10%)

222

(30%)

 

BI-RADS score

 

 

 

 

<0.001

 

1-3

88

(6%)

29

(4%)

 

 

4

1348

(88%)

591

(79%)

 

 

5

90

(6%)

123

(17%)

 

Type of biopsy

 

 

 

 

<0.001

 

True cut

388

(25%)

300

(40%)

 

 

VAB

1124

(74%)

437

(59%)

 

 

Other/ unknown

14

(1%)

6

(1%)

 

Grade

 

 

 

 

<0.001

 

Low

218

(14%)

45

(6%)

 

 

Intermediate

680

(45%)

274

(37%)

 

 

High

628

(41%)

424

(57%)

 

Suspect invasive

 

 

 

 

0.31

 

No

1497

(98%)

724

(97%)

 

 

Yes

29

(2%)

19

(3%)

 

Patients undergoing BCS were more often screen detected and more often had a vacuum assisted biopsy compared to patients undergoing a mastectomy. They less often had a palpable lesion, a lower BI-RADS score and a lower DCIS grade compared to patients undergoing a mastectomy.

Overall, the SLNB rate was 64%, the upstage rate was 17% and the metastasis rate was 2%. The SLNB rate was significantly lower in BCS versus mastectomy treated patients (50% versus 94%, p<0.001). The upstage rate in patients treated with BCS was significantly lower compared to those treated with mastectomy (13.2% vs 26.0%, p < 0.001). In addition, the metastasis rate in patients treated with BCS was significantly lower compared to those treated with mastectomy (1.0% vs 4.4%, p < 0.001).

A further analysis of the upstage rate in patients treated by BCS demonstrated that this was 10.6% for patients diagnosed by vacuum-assisted biopsy and 20.4% in patients diagnosed by core-needle biopsy (Table 2).

Table 2. Upstage and metastasis rates in patients treated by BCS according to the biopsy type (n = 1526)

Outcome

True cut

VAB

Other/unknown

p-value

 

 

N

(%)

N

(%)

n

(%)

 

Upstaging

 

 

 

 

 

 

<0.001

 

No

309

(79.6%)

1005

(89.4%)

10

(71.4%)

 

 

Yes

79

(20.4%)

119

(10.6%)

4

(28.6%)

 

Metastasis

 

 

 

 

 

 

<0.001

 

No

380

(97.9%)

1116

(99.3%)

14

(100%)

 

 

Yes

8

(2.1%)

8

(0.7%)

0

(0%)

 

The metastasis rate was 1.0% in the whole group of patients treated by BCS, but 2.1% in the subgroup in which DCIS was diagnosed by core needle biopsy and 0.7% in those diagnosed by vacuum assisted biopsy. 

A further analysis of the upstage rate in patients treated with mastectomy demonstrated that this was 19% for patients diagnosed by vacuum-assisted biopsy and 35% in patients diagnosed by core-needle biopsy (Table 3).

Table 3. Upstage and metastasis rates in patients treated by mastectomy according to the biopsy type (n = 743)

Outcome

True cut

VAB

Other/unknown

p-value

 

 

N

(%)

N

(%)

N

(%)

 

Upstaging

 

 

 

 

 

 

0.092

 

No

194

(65%)

352

(81%)

4

(67%)

 

 

Yes

106

(35%)

85

(19%)

2

(33%)

 

Metastase

 

 

 

 

 

 

0.029

 

No

281

(94%)

424

(97%)

5

(83%)

 

 

Yes

19

(6%)

13

(3%)

1

(17%)

 

The metastasis rate was 4.4% in the whole group of patients treated by mastectomy, 3% in those diagnosed by vacuum assisted biopsy and 6% in those diagnosed by core needle biopsy.

Using our upstage and metastasis risk prediction models, it was possible to find a cut-off value to ensure that the percentage of patients who do not undergo a SLNB is at least 80%. In patients treated by BCS, the cut off value would be 16.8% in the upstage model and 3.9% in the metastasis model. This would result in 4 out of 16 metastases being found in the upstage model and 8 out of 16 in the metastasis model.

In patients treated by mastectomy the same cut-off values of 16.8% in the upstage model and 3.9% in the metastasis model could be used. In both risk prediction models 24 out of 33 metastases would be found.

Additional calculations for the target of 90% of patients without a SLNB including patients treated by BCS or mastectomy can be found in the Supplementary Appendix.

A secondary SLNB is not possible in patients treated by mastectomy, therefore another consideration in selecting patients for a SLNB could be to find 80% or more of the metastases. This target can be achieved by setting the cut-off value at 15.0% in the upstage model and at 3.5% in the metastasis model. In both prediction models this would result in the detection of 27 out of 33 metastases. The reduction in SLNB rate would be 37.9% in the upstage model and 46.9% in the metastasis model. Additional data on the upstage rate and different cut-off values can be found in the Supplementary Appendix (Figures 1,2).

https://www.jscimedcentral.com/public/assets/images/uploads/image-1776830924-1.JPG

Figure 1 Flow diagram of patients with a DCIS biopsy treated by BCS.

https://www.jscimedcentral.com/public/assets/images/uploads/image-1776830949-1.JPG

Figure 2 Flow diagram of patients with a DCIS biopsy treated by mastectomy.

DISCUSSION

The objective of this study was to determine the use of SLNB in patients with DCIS biopsy treated with BCS or mastectomy in a large, nationwide cohort of patients. We found that 50% of patients treated by BCS did not have a SLNB, well above the target of 90% and the acceptable limit of 80% set by the EUSOMA [9]. In patients treated by BCS, registry based studies have found that between 81% and 44%of patients did not have a SLNB , all above the 90% target set by the EUSOMA [15-18]. These studies used the final diagnosis of DCIS, the biopsy diagnosis was not available, but nevertheless they indicate that there is an overuse of SLNB. The upstage rate in patients treated by BCS was 13.2%, higher than the 7-11% considered achievable by EUSOMA and metastasis rate was 1.0%. The results in patients treated by mastectomy differed from the BCS with a SLNB rate of 94%, an upstage rate of 26.0% and a metastasis rate of 4.4%.

In a previous population based study, we reported an upstage rate of 20% and a metastasis rate of 4.4% in the development cohort of our metastasis prediction model [11]. In the validation cohort the upstage rate was 18% and the metastasis rate was 2.2% [13]. Over the last two decades, meta-analyses and systematic reviews reported metastasis rates of 7.4%, 9.8%, 5.95% and 4.9% in patients with a DCIS biopsy [19-21]. In patients with a final diagnosis of DCIS the metastasis rate was 5.0% and 3.02% [20, 21]. One study based on a final diagnosis of DCIS reports metastasis rates lower than 1% [10].

In the present study we found a clear difference in metastasis rate and upstage rate between patients undergoing BCS or mastectomy. The difference in the metastasis rate between patients undergoing BCS and those undergoing mastectomy was also found by van Roozendaal et al., who reported a rate of 3.5% and 7%, respectively [19]. The differences in upstage rate and metastasis rate between patients treated by BCS or mastectomy can be explained by patient selection. Patients treated by mastectomy were less often screen-detected and less often had a vacuum assisted biopsy compared to patients undergoing BCS. They more often had a palpable lesion, a higher BI-RADS score and a higher DCIS grade compared to patients undergoing BCS. All these factors have been identified as risk factors for upstaging and lymph node metastasis [6-14].

An important finding of our study is that vacuum assisted biopsy was used to diagnose DCIS in only 74% of the patients undergoing BCS and in 60% of the patients undergoing mastectomy. This resulted in significantly lower upstage rates and metastasis rates compared to DCIS diagnosed by core needle biopsy in both patients treated by BCS and those treated by mastectomy. These differences can be easily explained by the difference in the amount of tissue obtained by the two procedures, vacuum- assisted biopsy yielding significantly more tissue. The superiority of vacuum-assisted biopsy in the diagnosis of DCIS well established for quite some time [1]. The equipment used for vacuum-assisted biopsy is somewhat more expensive and the procedure takes longer, which may explain why it is not always used in the diagnosis of DCIS. In addition, selection of the type of biopsy procedure is based on radiological features, which may be equivocal.

Our results confirm that the risk of metastasis in patients undergoing BCS, and also in those undergoing mastectomy, is very low supporting a policy of limited use of a SLNB. However, the EUSOMA recommendations for patients undergoing BCS offer little guidance on how to reduce the use of a SLNB and several guidelines recommend to always perform a SLNB in patients undergoing a mastectomy.

We and others have developed prediction models for upstaging, and we have also developed a prediction model for SLNB metastasis [2-20]. In this study we therefore explored whether the use of these prediction models could be an aid in safely reducing the use of SLNB, By setting different cut-offs in these models we were able to find a cut-off value that would result in at least 80% of patients not undergoing a SLNB. For patients undergoing BCS, this would result in 4 out of 16 metastases being detected in both prediction models, so 12 out of 1562 patients, 0.1% will have undetected metastasis. For patients undergoing mastectomy, this would result in 24 out of 33 metastases being detected by both prediction models, so 11 out of 743 patients, 1.4% will have undetected metastases. These numbers are significantly lower than the 13.7% in the control arm who underwent SLNB in early breast cancer patients randomized to SLNB or no axillary staging [21]. Nevertheless, these authors were unable to demonstrate a difference in five-year distant disease-free survival. Also, no differences were observed in locoregional relapses [21]. Further reductions in the use of SLNB are achievable by using higher cut-offs and will still result in metastasis rates that are low compared to the metastasis rate in the study by Gentilini [21]. Therefore, selection of patients for a SLNB based on these prediction models seems to be safe, not only in patients undergoing BCS, but also in those undergoing mastectomy.

We conclude that the use of SLNB in patients with DCIS biopsy treated by BCS is well above the target set by EUSOMA. Prediction models may be helpful to further reduce the use of SLNB. The universal use of vacuum assisted biopsies will further reduce the upstage rate.

SUPPLEMENTARY INFORMATION

The online version contains a supplementary appendix.

ACKNOWLEDGEMENTS

The authors thank the Dutch Pathology Databank in the Netherlands and the Netherlands Comprehensive Cancer Organisation for the data from their registries.

FUNDING

This work was supported by a grant from the Albert Schweitzer Hospital, grant number 2020-01.

ETHICS APPROVAL

This study was approved by the privacy committee and the scientific committee of PALGA (LZV 2019-57) and the Privacy Review Board of IKNL (K19.199).

REFERENCES
  1. Brennan ME, Turner RM, Ciatto S, Marinovich ML, French JR, Macaskill P, et al. Ductal carcinoma in situ at core-needle biopsy: meta-analysis of underestimation and predictors of invasive breast cancer. Radiology. 2011; 260: 119-28.
  2. Jakub JW, Murphy BL, Gonzalez AB, Conners AL, Henrichsen TL, Maimone S 4th, et al. A Validated Nomogram to Predict Upstaging of Ductal Carcinoma in Situ to Invasive Disease. Ann Surg Oncol. 2017; 24: 2915-2924.
  3. Rubio IT, Wyld L, Marotti L, Athanasiou A, Regitnig P, Catanuto G, et al. European guidelines for the diagnosis, treatment and follow-up of breast lesions with uncertain malignant potential (B3 lesions) developed jointly by EUSOMA, EUSOBI, ESP (BWG) and ESSO. Eur J Surg Oncol. 2024; 50: 107292.
  4. Early and Locally Advanced Breast Cancer: Diagnosis and Management NICE Guideline.; 2024.
  5. Pagina niet gevonden
  6. Karakatsanis A, Charalampoudis P, Pistioli L, Di Micco R, Foukakis T, Valachis A; SentiNot Trialists Group. Axillary evaluation in ductal cancer in situ of the breast: challenging the diagnostic accuracy of clinical practice guidelines. Br J Surg. 2021; 108: 1120-1125.
  7. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines ® ) NCCN Evidence Blocks TM Breast Cancer.; 2024.
  8. Lyman GH, Somerfield MR, Giuliano AE. Sentinel Lymph Node Biopsy for Patients With Early-Stage Breast Cancer: 2016 American Society of Clinical Oncology Clinical Practice Guideline Update Summary. J Oncol Pract. 2017; 13: 196-198.
  9. Rubio IT, Marotti L, Biganzoli L, et al. EUSOMA quality indicators for non-metastatic breast cancer: An update. Eur J Cancer. 2023; 198; 113500.
  10. Zetterlund L, Stemme S, Arnrup H, de Boniface J. Incidence of and risk factors for sentinel lymph node metastasis in patients with a postoperative diagnosis of ductal carcinoma in situ. Br J Surg. 2014; 101: 488-494.
  11. Meurs CJC, van Rosmalen J, Menke-Pluijmers MBE, Ter Braak BPM, de Munck L, Siesling S, Westenend PJ. A prediction model for underestimation of invasive breast cancer after a biopsy diagnosis of ductal carcinoma in situ: based on 2892 biopsies and 589 invasive cancers. Br J Cancer. 2018; 119: 1155-1162.
  12. Meurs C, van Rosmalen J, Menke-Pluijmers M, S. Siesling, P.Westenend. Predicting lymph node metastases for biopsy diagnosis ductal carcinoma in situ: The DCIS-met model. Eur J Cancer. 2020; 138.
  13. Meurs CJC, van Bekkum S, van Rosmalen J, Menke-Pluijmers MBE, Siesling S, Westenend PJ. Validation and Clinical Utility of a Prediction Model for the Risk of Upstaging to Invasive Breast Cancer After a Biopsy Diagnosis Ductal Carcinoma In Situ. Ann Surg Oncol. 2023; 30: 7069-7080.
  14. Meurs CJC, van Rosmalen J, Marian B E Menke-Pluijmers, Sabine Siesling, Pieter J Westenend. Predicting Lymph Node Metastases in Patients with Biopsy-Proven Ductal Carcinoma In Situ of the Breast: Development and Validation of the DCIS-met Model. Ann Surg Oncol. 2022; 30: 2142–2151.
  15. Mitchell KB, Lin H, Shen Y, Colfry A, Kuerer H, Shaitelman SF, Babiera GV, Bedrosian I. DCIS and axillary nodal evaluation: compliance with national guidelines. BMC Surg. 2017; 17: 12.
  16. Pyfer BJ, Jonczyk M, Jean J, Graham RA, Chen L, Chatterjee A. Analysis of Surgical Trends for Axillary Lymph Node Management in Patients with Ductal Carcinoma In Situ Using the NSQIP Database: Are We Following National Guidelines? Ann Surg Oncol. 2020; 27: 3448-
  17. 3455.

  18. Shin YD, Kang G, Jang H, Choi YJ. Trends in Axillary Surgery for Treating Ductal Carcinoma In Situ: A Korean Population-based Study. J Breast Cancer. 2021; 24: 49-62.
  19. Piltin MA, Hoskin TL, Courtney N. Day, Elizabeth B Habermann. Overuse of Axillary Surgery in Patients with Ductal Carcinoma In Situ: Opportunity for De-escalation. Ann Surg Oncol. 2022; 29: 1-8.
  20. van Roozendaal LM, Goorts B, Klinkert M, Keymeulen KBMI, De Vries B, Strobbe LJA, Wauters CAP, van Riet YE, Degreef E, Rutgers EJT, Wesseling J, Smidt ML. Sentinel lymph node biopsy can be omitted in DCIS patients treated with breast conserving therapy. Breast Cancer Res Treat. 2016; 156: 517-525.
  21. Meurs CJC, van Rosmalen J, Menke-Pluijmers MBE, Siesling S, Westenend PJ. Predicting Lymph Node Metastases in Patients with Biopsy-Proven Ductal Carcinoma In Situ of the Breast: Development and Validation of the DCIS-met Model. Ann Surg Oncol. 2023; 30: 2142-2151.
  22. Gentilini OD, Botteri E, Sangalli C, Galimberti V, Porpiglia M, Agresti R, et al.Sentinel Lymph Node Biopsy vs No Axillary Surgery in Patients With Small Breast Cancer and Negative Results on Ultrasonography of Axillary Lymph Nodes: The SOUND Randomized Clinical Trial. JAMA Oncol. 2023; 9: 1557-1564.

Westenend PJ, Meurs CJC, Menke-Pluijmers MBE, Siesling S (2026) Reducing the Use of Sentinel Lymph Node Biopsies and the Upstage Rate in Patients with a Ductal Carcinoma in Situ Biopsy, We Are Not There Yet. Ann Clin Pathol 13(1): 1183.

Received : 07 Feb 2026
Accepted : 07 Apr 2026
Published : 08 Apr 2026
Journals
Annals of Otolaryngology and Rhinology
ISSN : 2379-948X
Launched : 2014
JSM Schizophrenia
Launched : 2016
Journal of Nausea
Launched : 2020
JSM Internal Medicine
Launched : 2016
JSM Hepatitis
Launched : 2016
JSM Oro Facial Surgeries
ISSN : 2578-3211
Launched : 2016
Journal of Human Nutrition and Food Science
ISSN : 2333-6706
Launched : 2013
JSM Regenerative Medicine and Bioengineering
ISSN : 2379-0490
Launched : 2013
JSM Spine
ISSN : 2578-3181
Launched : 2016
Archives of Palliative Care
ISSN : 2573-1165
Launched : 2016
JSM Nutritional Disorders
ISSN : 2578-3203
Launched : 2017
Annals of Neurodegenerative Disorders
ISSN : 2476-2032
Launched : 2016
Journal of Fever
ISSN : 2641-7782
Launched : 2017
JSM Bone Marrow Research
ISSN : 2578-3351
Launched : 2016
JSM Mathematics and Statistics
ISSN : 2578-3173
Launched : 2014
Journal of Autoimmunity and Research
ISSN : 2573-1173
Launched : 2014
JSM Arthritis
ISSN : 2475-9155
Launched : 2016
JSM Head and Neck Cancer-Cases and Reviews
ISSN : 2573-1610
Launched : 2016
JSM General Surgery Cases and Images
ISSN : 2573-1564
Launched : 2016
JSM Anatomy and Physiology
ISSN : 2573-1262
Launched : 2016
JSM Dental Surgery
ISSN : 2573-1548
Launched : 2016
Annals of Emergency Surgery
ISSN : 2573-1017
Launched : 2016
Annals of Mens Health and Wellness
ISSN : 2641-7707
Launched : 2017
Journal of Preventive Medicine and Health Care
ISSN : 2576-0084
Launched : 2018
Journal of Chronic Diseases and Management
ISSN : 2573-1300
Launched : 2016
Annals of Vaccines and Immunization
ISSN : 2378-9379
Launched : 2014
JSM Heart Surgery Cases and Images
ISSN : 2578-3157
Launched : 2016
Annals of Reproductive Medicine and Treatment
ISSN : 2573-1092
Launched : 2016
JSM Brain Science
ISSN : 2573-1289
Launched : 2016
JSM Biomarkers
ISSN : 2578-3815
Launched : 2014
JSM Biology
ISSN : 2475-9392
Launched : 2016
Archives of Stem Cell and Research
ISSN : 2578-3580
Launched : 2014
Annals of Clinical and Medical Microbiology
ISSN : 2578-3629
Launched : 2014
JSM Pediatric Surgery
ISSN : 2578-3149
Launched : 2017
Journal of Memory Disorder and Rehabilitation
ISSN : 2578-319X
Launched : 2016
JSM Tropical Medicine and Research
ISSN : 2578-3165
Launched : 2016
JSM Head and Face Medicine
ISSN : 2578-3793
Launched : 2016
JSM Cardiothoracic Surgery
ISSN : 2573-1297
Launched : 2016
JSM Bone and Joint Diseases
ISSN : 2578-3351
Launched : 2017
JSM Bioavailability and Bioequivalence
ISSN : 2641-7812
Launched : 2017
JSM Atherosclerosis
ISSN : 2573-1270
Launched : 2016
Journal of Genitourinary Disorders
ISSN : 2641-7790
Launched : 2017
Journal of Fractures and Sprains
ISSN : 2578-3831
Launched : 2016
Journal of Autism and Epilepsy
ISSN : 2641-7774
Launched : 2016
Annals of Marine Biology and Research
ISSN : 2573-105X
Launched : 2014
JSM Health Education & Primary Health Care
ISSN : 2578-3777
Launched : 2016
JSM Communication Disorders
ISSN : 2578-3807
Launched : 2016
Annals of Musculoskeletal Disorders
ISSN : 2578-3599
Launched : 2016
Annals of Virology and Research
ISSN : 2573-1122
Launched : 2014
JSM Renal Medicine
ISSN : 2573-1637
Launched : 2016
Journal of Muscle Health
ISSN : 2578-3823
Launched : 2016
JSM Genetics and Genomics
ISSN : 2334-1823
Launched : 2013
JSM Anxiety and Depression
ISSN : 2475-9139
Launched : 2016
Clinical Journal of Heart Diseases
ISSN : 2641-7766
Launched : 2016
Annals of Medicinal Chemistry and Research
ISSN : 2378-9336
Launched : 2014
JSM Pain and Management
ISSN : 2578-3378
Launched : 2016
JSM Women's Health
ISSN : 2578-3696
Launched : 2016
Clinical Research in HIV or AIDS
ISSN : 2374-0094
Launched : 2013
Journal of Endocrinology, Diabetes and Obesity
ISSN : 2333-6692
Launched : 2013
Journal of Substance Abuse and Alcoholism
ISSN : 2373-9363
Launched : 2013
JSM Neurosurgery and Spine
ISSN : 2373-9479
Launched : 2013
Journal of Liver and Clinical Research
ISSN : 2379-0830
Launched : 2014
Journal of Drug Design and Research
ISSN : 2379-089X
Launched : 2014
JSM Clinical Oncology and Research
ISSN : 2373-938X
Launched : 2013
JSM Bioinformatics, Genomics and Proteomics
ISSN : 2576-1102
Launched : 2014
JSM Chemistry
ISSN : 2334-1831
Launched : 2013
Journal of Trauma and Care
ISSN : 2573-1246
Launched : 2014
JSM Surgical Oncology and Research
ISSN : 2578-3688
Launched : 2016
Annals of Food Processing and Preservation
ISSN : 2573-1033
Launched : 2016
Journal of Radiology and Radiation Therapy
ISSN : 2333-7095
Launched : 2013
JSM Physical Medicine and Rehabilitation
ISSN : 2578-3572
Launched : 2016
Annals of Cardiovascular Diseases
ISSN : 2641-7731
Launched : 2016
Journal of Behavior
ISSN : 2576-0076
Launched : 2016
Annals of Clinical and Experimental Metabolism
ISSN : 2572-2492
Launched : 2016
Clinical Research in Infectious Diseases
ISSN : 2379-0636
Launched : 2013
JSM Microbiology
ISSN : 2333-6455
Launched : 2013
Journal of Urology and Research
ISSN : 2379-951X
Launched : 2014
Journal of Family Medicine and Community Health
ISSN : 2379-0547
Launched : 2013
Annals of Pregnancy and Care
ISSN : 2578-336X
Launched : 2017
JSM Cell and Developmental Biology
ISSN : 2379-061X
Launched : 2013
Annals of Aquaculture and Research
ISSN : 2379-0881
Launched : 2014
Clinical Research in Pulmonology
ISSN : 2333-6625
Launched : 2013
Journal of Immunology and Clinical Research
ISSN : 2333-6714
Launched : 2013
Annals of Forensic Research and Analysis
ISSN : 2378-9476
Launched : 2014
JSM Biochemistry and Molecular Biology
ISSN : 2333-7109
Launched : 2013
Annals of Breast Cancer Research
ISSN : 2641-7685
Launched : 2016
Annals of Gerontology and Geriatric Research
ISSN : 2378-9409
Launched : 2014
Journal of Sleep Medicine and Disorders
ISSN : 2379-0822
Launched : 2014
JSM Burns and Trauma
ISSN : 2475-9406
Launched : 2016
Chemical Engineering and Process Techniques
ISSN : 2333-6633
Launched : 2013
Annals of Clinical Cytology and Pathology
ISSN : 2475-9430
Launched : 2014
JSM Allergy and Asthma
ISSN : 2573-1254
Launched : 2016
Journal of Neurological Disorders and Stroke
ISSN : 2334-2307
Launched : 2013
Annals of Sports Medicine and Research
ISSN : 2379-0571
Launched : 2014
JSM Sexual Medicine
ISSN : 2578-3718
Launched : 2016
Annals of Vascular Medicine and Research
ISSN : 2378-9344
Launched : 2014
JSM Biotechnology and Biomedical Engineering
ISSN : 2333-7117
Launched : 2013
Journal of Hematology and Transfusion
ISSN : 2333-6684
Launched : 2013
JSM Environmental Science and Ecology
ISSN : 2333-7141
Launched : 2013
Journal of Cardiology and Clinical Research
ISSN : 2333-6676
Launched : 2013
JSM Nanotechnology and Nanomedicine
ISSN : 2334-1815
Launched : 2013
Journal of Ear, Nose and Throat Disorders
ISSN : 2475-9473
Launched : 2016
JSM Ophthalmology
ISSN : 2333-6447
Launched : 2013
Journal of Pharmacology and Clinical Toxicology
ISSN : 2333-7079
Launched : 2013
Annals of Psychiatry and Mental Health
ISSN : 2374-0124
Launched : 2013
Medical Journal of Obstetrics and Gynecology
ISSN : 2333-6439
Launched : 2013
Annals of Pediatrics and Child Health
ISSN : 2373-9312
Launched : 2013
JSM Clinical Pharmaceutics
ISSN : 2379-9498
Launched : 2014
JSM Foot and Ankle
ISSN : 2475-9112
Launched : 2016
JSM Alzheimer's Disease and Related Dementia
ISSN : 2378-9565
Launched : 2014
Journal of Addiction Medicine and Therapy
ISSN : 2333-665X
Launched : 2013
Journal of Veterinary Medicine and Research
ISSN : 2378-931X
Launched : 2013
Annals of Public Health and Research
ISSN : 2378-9328
Launched : 2014
Annals of Orthopedics and Rheumatology
ISSN : 2373-9290
Launched : 2013
Journal of Clinical Nephrology and Research
ISSN : 2379-0652
Launched : 2014
Annals of Community Medicine and Practice
ISSN : 2475-9465
Launched : 2014
Annals of Biometrics and Biostatistics
ISSN : 2374-0116
Launched : 2013
JSM Clinical Case Reports
ISSN : 2373-9819
Launched : 2013
Journal of Cancer Biology and Research
ISSN : 2373-9436
Launched : 2013
Journal of Surgery and Transplantation Science
ISSN : 2379-0911
Launched : 2013
Journal of Dermatology and Clinical Research
ISSN : 2373-9371
Launched : 2013
JSM Gastroenterology and Hepatology
ISSN : 2373-9487
Launched : 2013
Annals of Nursing and Practice
ISSN : 2379-9501
Launched : 2014
JSM Dentistry
ISSN : 2333-7133
Launched : 2013
Author Information X