Evidence map›Paper›PMID 33713606›Full record

ArticleThe lancet. Gastroenterology & hepatology2021

Predicting endoscopic activity recovery in England after COVID-19: a national analysis.

Kai Man Alexander Ho, Amitava Banerjee, Mark Lawler, Matthew D Rutter, Laurence B Lovat

Open access · bronzeAbstract read
In one paragraph

Article in The lancet. Gastroenterology & hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  15. Eye tracking technology in endoscopy: Looking to the future.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2023
    Review
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  19. Advances in colon capsule endoscopy: a review of current applications and challenges.Frontiers in gastroenterology (Lausanne, Switzerland) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Kai Man Alexander HoDivision of Surgery and Interventional Science, University College London, London, UK. Electronic address: alexander.ho@ucl.ac.uk.
Amitava BanerjeeInstitute of Health Informatics, University College London, London, UK.
Mark LawlerPatrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK; DATA-CAN, Health Data Research Hub for Cancer, London, UK.
Matthew D RutterDepartment of Gastroenterology, University Hospital of North Tees, Stockton-on-Tees, UK; Population Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, UK.
Laurence B LovatDivision of Surgery and Interventional Science, University College London, London, UK; Gastrointestinal Services Division, University College London Hospitals NHS Foundation Trust, London, UK.
University College London · GBQueen's University Belfast · GBUniversity Hospital of North Tees · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has led to a substantial reduction in gastrointestinal endoscopies, creating a backlog of procedures. We aimed to quantify this backlog nationally for England and assess how various interventions might mitigate the backlog.

methodsWe did a national analysis of data for colonoscopies, flexible sigmoidoscopies, and gastroscopies from National Health Service (NHS) trusts in NHS England's Monthly Diagnostic Waiting Times and Activity dataset. Trusts were excluded if monthly data were incomplete. To estimate the potential backlog, we used linear logistic regression to project the cumulative deficit between actual procedures performed and expected procedures, based on historical pre-pandemic trends. We then made further estimations of the change to the backlog under three scenarios: recovery to a set level of capacity, ranging from 90% to 130%; further disruption to activity (eg, second pandemic wave); or introduction of faecal immunochemical testing (FIT) triaging.

findingsWe included data from Jan 1, 2018, to Oct 31, 2020, from 125 NHS trusts. 10 476 endoscopy procedures were done in April, 2020, representing 9·5% of those done in April, 2019 (n=110 584), before recovering to 105 716 by October, 2020 (84·5% of those done in October, 2019 [n=125 072]). Recovering to 100% capacity on the current trajectory would lead to a projected backlog of 162 735 (95% CI 143 775-181 695) colonoscopies, 119 025 (107 398-130 651) flexible sigmoidoscopies, and 194 087 (172 564-215 611) gastroscopies in January, 2021, attributable to the pandemic. Increasing capacity to 130% would still take up to June, 2022, to eliminate the backlog. A further 2-month interruption would add an extra 15·4%, a 4-month interruption would add an extra 43·8%, and a 6-month interruption would add an extra 82·5% to the potential backlog. FIT triaging of cases that are found to have greater than 10 μg haemoglobin per g would reduce colonoscopy referrals to around 75% of usual levels, with the backlog cleared in early 2022.

interpretationOur work highlights the impact of the pandemic on endoscopy services nationally. Even with mitigation measures, it could take much longer than a year to eliminate the pandemic-related backlog. Urgent action is required by key stakeholders (ie, individual NHS trusts, Clinical Commissioning Groups, British Society of Gastroenterology, and NHS England) to tackle the backlog and prevent delays to patient management.

fundingWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) at University College London, National Institute for Health Research University College London Hospitals Biomedical Research Centre, and DATA-CAN, Health Data Research UK.

Indexed as

Capacity BuildingCOVID-19Endoscopy, Digestive SystemGastrointestinal DiseasesProcedures and Techniques UtilizationTriageChange ManagementHumansImmunochemistryInfection ControlOutcome and Process Assessment, Health CareSARS-CoV-2State MedicineUnited KingdomWaiting Lists

Identifiers

PMID33713606
PMCPMC7946568
OpenAlexW3135262037

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.