Evidence map›Paper›PMID 40521877›Full record

ArticleAlimentary pharmacology & therapeutics2025

Twenty-Year Trends in Colectomy Rates and Advanced Therapy Prescribing in Lothian, Scotland.

Alexander T Elford, Nathan Constantine-Cooke, Phil W Jenkinson, Beatriz Gros, Nikolas Plevris, Mathew Lyons, Solomon Ong, Neil Greenlees, Victor Velasco-Pardo, Claire O'Hare and 8 more

Abstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

18 authors.

Alexander T ElfordEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0001-6144-1369
Nathan Constantine-CookeMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0002-4437-8713
Phil W JenkinsonEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.
Beatriz GrosEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0002-5628-313X
Nikolas PlevrisEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0002-3229-8759
Mathew LyonsCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
Solomon OngEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0009-0000-0542-4492
Neil GreenleesEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.
Victor Velasco-PardoCentre for Genomics and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0002-7166-1573
Claire O'HareEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.
Nicholas T VenthamEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0001-8182-2812
Paul HendersonRoyal Hospital for Children and Young People, Edinburgh, UK.ORCID https://orcid.org/0000-0003-3634-6428
David C WilsonRoyal Hospital for Children and Young People, Edinburgh, UK.ORCID https://orcid.org/0000-0003-0879-1129
Shahida DinEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0003-2855-3400
Colin L NobleEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.
Gareth-Rhys JonesEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0001-7355-2357
Ian ArnottEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0003-3352-9253
Charlie W LeesEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0002-0732-8215

Funding

NHS research ScotlandUK Research and Innovation MR/S034919/1University of MelbourneWellcome TrustWellcome Trust 220725/Z/20/Z
6 · The paper itself

Abstract

backgroundThe impact of advanced therapy prescribing on colectomy rates in ulcerative colitis (UC) is unknown with conflicting published evidence.

aimTo describe advanced therapy prescribing trends and colectomy rates for patients with UC in Lothian, UK between January 1st, 2004 and December 31st, 2023.

methodsWe obtained incidence and prevalence data from the Lothian IBD Registry, a rigorously validated population cohort. We report advanced therapy prescribing and colectomy data as raw numbers and annual incidence rates. We used piecewise linear regression analyses to identify temporal trends in prescription and colectomy rates.

resultsThe prevalence of UC increased from 216 to 441 per 100,000 population in the 20 years from 2004, culminating in a total of 4115 patients with UC in 2023. We identified 720 patients who had received an advanced therapy. Prescribing of first-line advanced therapy increased from 0 in 2004 to 115 in 2023, equating to 0.00 and 2.82 per 100 patients with UC. We identified 563 patients of the prevalent UC population who had colectomy, of whom 68% were performed as emergencies. Absolute colectomy numbers decreased from 42 in 2004 to 7 in 2023, equating to 2.48 and 0.22 per 100 patients with UC. A join point in 2013 was found for both increased advanced therapy prescribing and decreased colectomy rates.

conclusionThe incidence of colectomy in the UC population has decreased over time while the use of advanced therapies has greatly increased.

Indexed as

ColectomyColitis, UlcerativePractice Patterns, Physicians'AdolescentAdultAgedFemaleHumansIncidenceMaleMiddle AgedPrevalenceRegistriesScotlandYoung Adultadvanced therapiesbiologicscolectomyinflammatory bowel diseaseulcerative colitis

Identifiers

PMID40521877
PMCPMC12422722

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Registered trials

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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.