Evidence map›Paper›PMID 34363047›Full record

ArticleEye (London, England)2022

Returning to cataract surgery after a hiatus: a UK survey report.

Laura Maubon, Paul Nderitu, David P S O'Brart

Abstract read
In one paragraph

Article in Eye (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. The future of cataract surgery.Eye (London, England) · 2025
    Review
  5. Surgery and technical skill decay.International journal of surgery (London, England) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Laura MaubonGuy's and St Thomas' NHS Foundation Trust, London, UK. lauramaubon@nhs.net.ORCID 0000-0001-8920-7638
Paul NderituKing's College Hospital, NHS Foundation Trust, London, UK.
David P S O'BrartGuy's and St Thomas' NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCataract surgeons may periodically take time away from operating which can lead to skills fade. There is a paucity of research investigating the experiences of returning cataract surgeons and how different individual circumstances impact on their return. Our aim was to investigate the subjective experiences of UK ophthalmologists simultaneously returning to surgery following the nationwide elective surgical hiatus due to the Covid-19 pandemic.

methodsAn online survey was nationally distributed between 01/09/2020 and 29/10/2020 to registered UK ophthalmologists. Participants indicating a surgical hiatus of 8 weeks or more were included.

results232 of 264 responses were analysed. Covid-19 was the most frequent reason for a surgical hiatus (median 15 weeks). Perceived operating difficulties were found in 29.1%. Transient anxiety (51.7%), reduced confidence, and perceived increased surgical time were commonplace. Trainees and females were more likely to encounter negative experiences (p < 0.001) and barriers to resource accessibility. Eyesi

conclusionsTechnical skills fade such as capsulorhexis difficulties were commonly perceived by trainee surgeons in addition to transient anxiety, reported in more than half of all surgeons following a hiatus as short as 8 weeks. Eyesi

Indexed as

CataractCOVID-19Clinical CompetenceFemaleHumansMalePandemicsUnited Kingdom

Identifiers

PMID34363047
PMCPMC8343362

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.