Evidence map›Paper›PMID 35128434›Full record

SynthesisReproduction & fertility2021

Systematic review of patient-specific pre-operative predictors of pain improvement to endometriosis surgery.

Elizabeth Ball, Babu Karavadra, Bethany Jade Kremer-Yeatman, Connor Mustard, Kim May Lee, Sharandeep Bhogal, Julie Dodds, Andrew W Horne, John Allotey, Carol Rivas

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Reproduction & fertility, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 6 institutions in 1 country.

Elizabeth BallDepartment of Obstetrics and Gynaecology, The Royal London Hospital, Barts Health NHS Trust, London, UK.
Babu KaravadraDepartment of Gynecology, Norfolk & Norwich University Hospital, Norwich, UK.
Bethany Jade Kremer-YeatmanPoole Hospital NHS Foundation Trust, UK.
Connor MustardBarts and the London Pragmatic Clinical Trials Unit, Queen Mary University of London, London, UK.
Kim May LeeBarts and the London Pragmatic Clinical Trials Unit, Queen Mary University of London, London, UK.
Sharandeep BhogalWomen's Health Research Unit, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Julie DoddsWomen's Health Research Unit, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Andrew W HorneMRC Centre for Reproductive Health, University of Edinburgh, UK.
John AlloteyInstitute of Metabolism and Systems Research and Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
Carol RivasUCL Social Research Institute, University College London, London, UK.
Queen Mary University of London · GBNorfolk and Norwich University Hospital · GBPoole Hospital NHS Foundation Trust · GBUniversity College London · GBUniversity of Birmingham · GBUniversity of Edinburgh · GB

Funding

Department of Health NIHR PB-PG-0317-20018
6 · The paper itself

Abstract

backgroundUp to 28% of endometriosis patients do not get pain relief from therapeutic laparoscopy but this subgroup is not defined.

objectivesTo identify any prognostic patient-specific factors (such as but not limited to patients' type or location of endometriosis, sociodemographics and lifestyle) associated with a clinically meaningful reduction in post-surgical pain response to operative laparoscopic surgery for endometriosis. SEARCH STRATEGY: PubMed, Cochrane and Embase databases were searched from inception to 19 May 2020 without language restrictions. Backward and forward citation tracking was used. SELECTION CRITERIA DATA COLLECTION AND ANALYSIS: Cohort studies reporting prognostic factors, along with scores for domains of pain associated with endometriosis before and after surgery, were included. Studies that compared surgeries, or laboratory tests, or outcomes without stratification were excluded. Results were synthesised but variation in study designs and inconsistency of outcome reporting precluded us from doing a meta-analysis. MAIN

resultsFive studies were included. Quality assessment using the Newcastle-Ottawa scale graded three studies as high, one as moderate and one as having a low risk of bias. Four of five included studies separately reported that a relationship exists between more severe endometriosis and stronger pain relief from laparoscopic surgery.

conclusionCurrently, there are few studies of appropriate quality to answer the research question. We recommend future studies report core outcome sets to enable meta-analysis. LAY SUMMARY: Endometriosis is a painful condition caused by displaced cells from the lining of the womb, causing inflammation and scarring inside the body. It affects 6-10% of women and there is no permanent cure. Medical and laparoscopic surgical treatments are available, but about 28% of patients do not get the hoped-for pain relief after surgery. Currently, there is no way of predicting who gets better and who does not. We systematically searched the world literature to establish who may get better, in order to improve counselling when women choose treatment options. We identified five studies of variable quality showing: More complex disease (in specialist hands) responds better to surgery than less, but more studies needed.

Indexed as

EndometriosisLaparoscopyFemaleHumansPelvic PainUterusendometriosislaparoscopysurgerysystematic review

Identifiers

PMID35128434
PMCPMC8812445
OpenAlexW3131464447

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.