Cited by 26Endometriosis Research and TreatmentEndometrial and Cervical Cancer TreatmentsGynecological conditions and treatments

Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence

Open access
Nezhat, Camran R., Oskotsky, Tomiko T., Robinson, Joshua F., Fisher, Susan J., Tsuei, Angie, Liu, Binya, Irwin, Juan C., Gaudilliere, Brice +3 more·2025·npj Women s Health

Abstract

Endometriosis is an enigmatic disease whose diagnosis and management are being transformed through innovative surgical, molecular, and computational technologies. Integrating single-cell and other omic disease data with clinical and surgical metadata can identify multiple disease subtypes with translation to novel diagnostics and therapeutics. Herein, we present real-world perspectives on endometriosis and the importance of multidisciplinary collaboration in informing molecular, epidemiologic, and cell-specific data in the clinical and surgical contexts.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s44294-024-00052-w

Cites

210 of 210 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The cohort's endometriosis stage distribution was: Stage I 9 (3.81%), Stage II 28 (11.86%), Stage III 58 (24.58%), Stage IV 141 (59.75%).

    “9 patients (3.81%) were classified as Stage I, 28 (11.86%) as Stage II, 58 (24.58%) as Stage III, and 141 (59.75%) as Stage IV”

    From Selective Appendectomy in Patients Undergoing Minimally Invasive Surgery for Endometriosis: A Retrospective Cohort Study (2025) · cites this paper as [17]

    The Endometriosis staging section (page unavailable) defines Stages I–IV but gives no cohort distribution. Searches for the stated percentages and patient counts found no passage reporting those figures, so the distribution cannot be verified from our copy. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. [11]Burney, R. O. & Giudice, L. C. In Degroot’s Endocrinology (eds. Burney, R. O. et al.) Vol. 18, 2079–2092 (Elesiver, 2022).
  2. [45]Giudice, L. C. Advances in approaches to diagnose endometriosis. Glob Reprod. Health 9, e0074 (2024).
  3. [111]Nezhat, C. R., Nezhat, F. & Nezhat, C. H. Nezhat’s Video-Assisted and Robotic-Assisted Laparoscopy and Hysteroscopy (Cambridge University Press, 2013).

Cited by

Sorted by citations

Authors
Nezhat, C. R., Oskotsky, T. T., Robinson, J. F., Fisher, S. J., Tsuei, A., Liu, B., Irwin, J. C., Gaudilliere, B., Sirota, M., Stevenson, D. K., & Giudice, L. C.
Affiliations
  • University of California, San Francisco (US)
  • Center for Special Minimally Invasive and Robotic Surgery (US)
  • Stanford Medicine (US)
  • Stanford University (US)
Corresponding author
  • Nezhat, Camran R.
  • Giudice, Linda C.
Venue
npj Women s Health
Published
2025-02-06
Volume
3
Issue
1
Pages
8-8
ISSN
2948-1716 (ISSN-L)
OpenAlex
W4407167810
Cited by
25
References
209
Citations by year
2026: 15 · 2025: 10
FWCI
3.44
Type
journal article
Language
en
Open access
Locations
  • npj Women s Health (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Institutes of Health (HD P01 106414)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
  • Health Sciences › Medicine › Obstetrics and Gynecology › Endometrial and Cervical Cancer Treatments
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gynecological conditions and treatments
Keywords
endometriosis, disease phenotyping, endometriosis subtypes, single-cell omics, surgical data, health data, artificial intelligence, endometriosis diagnosis, multidisciplinary collaboration

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review