Evidence map›Paper›PMID 33865717›Full record

ReviewBest practice & research. Clinical obstetrics & gynaecology2021

COVID-19 in Women's health: Pre-operative gynaecological assessment and shared decision making.

Elizabeth Ball, Fredric Willmott, Carol Rivas, Chiraag Talati

Open access · greenAbstract readReview
In one paragraph

Review in Best practice & research. Clinical obstetrics & gynaecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. The impact of COVID-19 on O&G trainees; where are we now?Facts, views & vision in ObGyn · 2022
    Article
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

4 authors at 4 institutions in 1 country.

Elizabeth BallDepartment of Obstetrics and Gynaecology, Barts Health NHS Trust, United Kingdom; Department of Women's and Child Health, City University London, United Kingdom. Electronic address: elizabeth.ball9@nhs.net.
Fredric WillmottDepartment of Obstetrics and Gynaecology, Barts Health NHS Trust, United Kingdom.
Carol RivasUniversity College London Social Research Institute, University College London (UCL) London, United Kingdom.
Chiraag TalatiDepartment of Anaesthesia, Homerton University Hospital NHS Trust, United Kingdom.
Barts Health NHS Trust · GBCity, University of London · GBHomerton University Hospital · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Health Service (NHS) response to the coronavirus disease 2019 (COVID-19) pandemic brought about rapid and innovative changes to surgical care in gynaecology, shared decision making around operative procedures and pre-operative gynaecological pathways. Short-term changes are linked to the redeployment of resources away from elective gynaecology and long-term changes relate to accelerating the streamlining of treatments, telemedicine and education in patient self-management. The speed and recency of the response does not yet permit the creation of a large evidence base for effective and acceptable interventions, apart from anecdotal observations of 'what works well'' good practice and guidance from the Royal Colleges and the National Institute for Health and Care Excellence (NICE).

Indexed as

COVID-19GynecologyDecision Making, SharedFemaleHumansSARS-CoV-2State MedicineWomen's HealthConsentCOVID-19 pandemicGynaecological servicesPandemic responsePriortitisation

Identifiers

PMID33865717
PMCPMC7970420
OpenAlexW3136821028

What OpenQuestion holds

Textmetadata
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.