Evidence map›Paper›PMID 32999886›Full record

ArticleInflammatory intestinal diseases2020

Cohort Profile: The Christchurch IBS cOhort to investigate Mechanisms FOr gut Relief and improved Transit (COMFORT).

Phoebe Heenan, Rob H Creemers, Shriya Sharma, Jacqueline Keenan, Simone Bayer, Wayne Young, Janine Cooney, Kelly Armstrong, Karl Fraser, Paula M Skidmore and 3 more

Open access · goldAbstract read
In one paragraph

Article in Inflammatory intestinal diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

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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

13 authors at 6 institutions in 2 countries.

Phoebe HeenanDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Rob H CreemersDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Shriya SharmaDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Jacqueline KeenanDepartment of Surgery, University of Otago, Christchurch, New Zealand.
Simone BayerDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Wayne YoungFood Nutrition and Health, Grasslands Research Centre, AgResearch, Palmerston North, New Zealand.
Janine CooneyHigh Value Nutrition Science Challenge, University of Newcastle, Newcastle, New South Wales, Australia.
Kelly ArmstrongFood Nutrition and Health, Grasslands Research Centre, AgResearch, Palmerston North, New Zealand.
Karl FraserFood Nutrition and Health, Grasslands Research Centre, AgResearch, Palmerston North, New Zealand.
Paula M SkidmoreDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Nicholas J TalleyPlant & Food Research, Research and Innovation Division, Hamilton, New Zealand.
Nicole RoyRiddet Institute, Massey University, Palmerston North, New Zealand.
Richard B GearryDepartment of Medicine, University of Otago, Christchurch, New Zealand.
University of Otago · NZAgResearch · NZMassey University · NZPlant & Food Research · NZRiddet Institute · NZUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThis cross-sectional observational case-control study was initiated in July 2016 with the aim of increasing an understanding of the underlying disease mechanisms in functional gastrointestinal disorders (FGIDs) including irritable bowel syndrome (IBS), functional diarrhoea (FD), and functional constipation (FC). Specific areas of interest include the effect of food, microbiome, host and microbial genetics, metabolome, and psychological variables on unexplained chronic gastrointestinal (GI) symptoms.

methodsThis study recruited consecutive patients who were attending one of two endoscopy centres in Christchurch, New Zealand, for colonoscopy and a subgroup of participants from the general public who did not undergo colonoscopy. Participants with known GI disease other than an FGID were excluded. Those with symptoms were recruited as cases, whilst those without symptoms were recruited as controls. In the days prior to preparation for colonoscopy, or an agreeable time for those not undergoing colonoscopy, demographic, symptom, psychological, dietary, and health data were collected in addition to biological samples (breath, faeces, blood, and urine). Colonic biopsies were taken at the time of colonoscopy from participants in the colonoscopy subgroup.

resultsBetween July 2016 and December 2018, 349 participants were recruited, 315 of whom completed the study, 220 participants were from the colonoscopy subgroup, and 95 from the non-colonoscopy subgroup. This included 129 controls and 186 cases (57 IBS-diarrhoea predominant, 30 IBS-constipation predominant, 41 IBS-mixed, 42 FC, and 16 FD). The mean age of FGID cases was 53.4 years and controls 54.4 years. Cases (149/186, 80.1%) and controls (57/72, 55.8%) were predominantly female. Education levels were similar across the cohort. Smoking and alcohol rates were also similar. Biological samples were collected as planned from participants.

conclusionsThe COMFORT cohort is a unique clinical cohort of FGID cases and controls with a wide range of demographic, dietary, clinical, psychological, and health data in addition to biological samples. Future research will aim to use a systems biology approach to establish the potential role of diet, host-microbiome interactions, and other factors in the pathogenesis of FGIDs.

Indexed as

Case control studyCohort profileFunctional gastrointestinal disordersIrritable bowel syndromeObservational study

Identifiers

PMID32999886
PMCPMC7506285
OpenAlexW3041548256

What OpenQuestion holds

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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.