Evidence map›Paper›PMID 32587670›Full record

ArticleFrontline gastroenterology2020

Practice pattern variability in the management of acute severe colitis: a UK provider survey.

Shaji Sebastian, Jessica Lisle, Sreedhar Subramanian, Anjan Dhar, Achut Shenoy, Jimmy Limdi, Jeffrey Butterworth, Patrick B Allen, Sunil Samuel, Gordon Moran and 5 more

Open access · greenAbstract read
In one paragraph

Article in Frontline gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 13 institutions in 3 countries.

Shaji SebastianIBD Unit, Department of Gastroenterology, Hull University Teaching Hospitals NHS Trust, Hull, UK.ORCID 0000-0002-3670-6545
Jessica LisleHull University Teaching Hospitals NHS Trust, Hull, UK.
Sreedhar SubramanianDepartment of Gastroenterology, Royal Liverpool University Hospital, Liverpool, UK.
Anjan DharDepartment of Gastroenterology, County Durham and Darlington NHS Foundation Trust, Bishop Auckland, UK.
Achut ShenoyDepartment of Gastroenterology, Colchester Hospital University NHS Foundation Trust, Colchester, UK.
Jimmy LimdiDepartment of Gastroenterology, The Pennine Acute Hospitals NHS Trust, Manchester, UK.
Jeffrey ButterworthDepartment of Gastroenterology, Royal Shrewsbury Hospitals NHS Trust, Shrewsbury, UK.
Patrick B Allendepartment of Gastroenterology, Ulster Hospital, Dundonald, UK.
Sunil SamuelNIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Gordon MoranNIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Richard ShendereyDepartment of Gastroenterology, Airedale NHS Foundation Trust, Keighley, UK.
Gareth ParkesDepartment of Gastroenterology, Royal London Hospital, London, UK.
Tim RaineDepartment of Gastroenterology, Addenbrooke's Hospital, Cambridge, UK.
Alan J LoboGastroenterology Unit, Royal Hallamshire Hospital, Sheffield, UK.
Nicholas A KennedyDepartment of Gastroenterology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
Nottingham University Hospitals NHS Trust · GBUniversity of Hull · GBAddenbrooke's Hospital · GBAiredale NHS Foundation Trust · GBColchester Hospital · GBCounty Durham and Darlington NHS Foundation Trust · GBPennine Acute Hospitals NHS Trust · GBRoyal Devon & Exeter NHS Foundation Trust · GBRoyal Hallamshire Hospital · GBRoyal London Hospital · GBRoyal Shrewsbury Hospital · GBUlster Hospital · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLack of comparative trial data on dosing regimens of infliximab in patients with acute severe ulcerative colitis (ASUC) failing intravenous corticosteroids has resulted in variability of rescue regimes in ASUC with potential impact on clinical outcomes. We aimed to evaluate practice variability and physician perspectives in decision-making with rescue therapy. METHODOLOGY: An internet-based survey of members of the inflammatory bowel disease (IBD) section of the British Society of Gastroenterology was conducted. The survey evaluated provider characteristics and general practice in the setting of ASUC, followed by a vignette with linked questions.

resultsThe response rate of the survey was 31% (209/682 IBD section members). 134 (78%) reported they would use standard infliximab dose (5 mg/kg) while 37 (22%) favoured a higher front-loading dose of 10 mg/kg citing low albumin, high C-reactive protein as their reason for their preference. IBD specialists chose the higher front-loading dose more often compared with other gastroenterologists (p=0.01) In the specific case vignette, accelerated induction (AI) was favoured by 51% of the respondents while 25% used the standard induction regime and 19% favoured colectomy. IBD specialists more often favoured AI compared with other gastroenterologists (p=0.03) with the main reason being presence of predictors of low infliximab levels (74%). The reasons cited for favouring standard induction (n=57) included lack of evidence for AI (18), their usual practice (11), unlicensed regime (7), and safety concerns (4).

conclusionsThere are significant variations in practice in the use of infliximab rescue therapies with an urgent need for development of care pathways to standardise practice.

Indexed as

Accelerated rescueAcute severe colitisInfliximabprovider surveyRescue therapy

Identifiers

PMID32587670
PMCPMC7307042
OpenAlexW2966934190

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.