Evidence map›Paper›PMID 39113136›Full record

Observational studyBMC medicine2024

Predicting disease recurrence in patients with endometriosis: an observational study.

Sarah J Holdsworth-Carson, Jessica Chung, Dorothy A Machalek, Rebecca Li, Byung Kyu Jun, Meaghan J Griffiths, Molly Churchill, Tristan McCaughey, Debbie Nisbet, Uri Dior and 6 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Sarah J Holdsworth-CarsonDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia. Sarah.Carson@epworth.org.au.
Jessica ChungDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Dorothy A MachalekThe Kirby Institute, University of New South Wales, High Street, Kensington, NSW, 2052, Australia.
Rebecca LiDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Byung Kyu JunDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Meaghan J GriffithsDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Molly ChurchillDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Tristan McCaugheyDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Debbie NisbetUltrasound Services, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Uri DiorFaculty of Medicine, Department of Obstetrics and Gynaecology, Hadassah Medical Center, P.O Box 12000, Jerusalem, 91120, Israel.
Jacqueline F DonoghueDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Grant W MontgomeryInstitute for Molecular Bioscience, University of Queensland, 306 Carmody Road, St Lucia, Brisbane, QLD, 4072, Australia.
Charlotte ReddingtonDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Jane E GirlingDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Martin HealeyDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.
Peter A W RogersDepartment of Obstetrics, Gynaecology and Newborn Health, University of Melbourne and Gynaecology Research Centre, Royal Women's Hospital, Grattan St & Flemington Rd, Parkville, VIC, 3052, Australia.

Funding

National Health and Medical Research Council GNT1012245National Health and Medical Research Council GNT1105321National Health and Medical Research Council GNT1199715
6 · The paper itself

Abstract

backgroundDespite surgical and pharmacological interventions, endometriosis can recur. Reliable information regarding risk of recurrence following a first diagnosis is scant. The aim of this study was to examine clinical and survey data in the setting of disease recurrence to identify predictors of risk of endometriosis recurrence.

methodsThis observational study reviewed data from 794 patients having surgery for pelvic pain or endometriosis. Patients were stratified into two analytic groups based on self-reported or surgically confirmed recurrent endometriosis. Statistical analyses included univariate, followed by multivariate logistic regression to identify risk factors of recurrence, with least absolute shrinkage and selection operator (Lasso) regularisation. Risk-calibrated Supersparse Linear Integer Models (RiskSLIM) and survival analyses (with Lasso) were undertaken to identify predictive features of recurrence.

resultsSeveral significant features were repeatedly identified in association with recurrence, including adhesions, high rASRM score, deep disease, bowel lesions, adenomyosis, emergency room attendance for pelvic pain, younger age at menarche, higher gravidity, high blood pressure and older age. In the surgically confirmed group, with a score of 5, the RiskSLIM method was able to predict the risk of recurrence (compared to a single diagnosis) at 95.3% and included adenomyosis and adhesions in the model. Survival analysis further highlighted bowel lesions, adhesions and adenomyosis.

conclusionsFollowing an initial diagnosis of endometriosis, clinical decision-making regarding disease management should take into consideration the presence of bowel lesions, adhesions and adenomyosis, which increase the risk of endometriosis recurrence.

Indexed as

EndometriosisRecurrenceAdultFemaleHumansMiddle AgedRisk FactorsYoung AdultEndometriosisEndometriosis recurrenceRecurrent endometriosisReoperationRepeat surgery

Identifiers

PMID39113136
PMCPMC11304583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.