Evidence map›Paper›PMID 36313095›Full record

ArticleFrontiers in nutrition2022

Impact of fibre and red/processed meat intake on treatment outcomes among patients with chronic inflammatory diseases initiating biological therapy: A prospective cohort study.

Silja H Overgaard, Signe B Sørensen, Heidi L Munk, Anders B Nexøe, Henning Glerup, Rikke H Henriksen, Tanja Guldmann, Natalia Pedersen, Sanaz Saboori, Lone Hvid and 16 more

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03173144 (Impact of Red and Processed Meat and Fibre Intake on Treatment Outcome Among Patients With Chronic Inflammatory Diseases), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT03173144 completednot on this map

Impact of Red and Processed Meat and Fibre Intake on Treatment Outcome Among Patients With Chronic Inflammatory Diseases: Protocol for a Prospective Cohort Study on Prognostic Factors and Personalised Medicine

Typeobservational_patient_registrySponsorUniversity of Southern DenmarkRan2017 to 2021Enrolled233ConditionsAutoimmune Diseases, Inflammatory Bowel Diseases, Crohn Disease (CD), Colitis, Ulcerative (UC)ArmsPrimary exposure variable, Other (exploratory) exposure variables
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Lifestyle Modification for the Management of Psoriatic Arthritis.American journal of lifestyle medicine · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Silja H OvergaardThe Molecular Diagnostics and Clinical Research Unit, Departement of Blood Samples, Biochemistry and Immunology, University Hospital of Southern Denmark, Aabenraa, Denmark.
Signe B SørensenThe Molecular Diagnostics and Clinical Research Unit, Departement of Blood Samples, Biochemistry and Immunology, University Hospital of Southern Denmark, Aabenraa, Denmark.
Heidi L MunkResearch Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark.
Anders B NexøeDepartment of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Henning GlerupUniversity Research Clinic for Innovative Patient Pathways, Silkeborg Regional Hospital, Silkeborg, Denmark.
Rikke H HenriksenUniversity Research Clinic for Innovative Patient Pathways, Silkeborg Regional Hospital, Silkeborg, Denmark.
Tanja GuldmannUniversity Research Clinic for Innovative Patient Pathways, Silkeborg Regional Hospital, Silkeborg, Denmark.
Natalia PedersenDepartment of Gastroenterology, Slagelse Hospital, Slagelse, Denmark.
Sanaz SabooriDepartment of Gastroenterology, Slagelse Hospital, Slagelse, Denmark.
Lone HvidDepartment of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark.
Jens F DahlerupDepartment of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark.
Christian L HvasDepartment of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark.
Mohamad JawharaThe Molecular Diagnostics and Clinical Research Unit, Departement of Blood Samples, Biochemistry and Immunology, University Hospital of Southern Denmark, Aabenraa, Denmark.
Karina W AndersenThe Molecular Diagnostics and Clinical Research Unit, Departement of Blood Samples, Biochemistry and Immunology, University Hospital of Southern Denmark, Aabenraa, Denmark.
Andreas K PedersenDepartment of Research and Learning, University Hospital of Southern Denmark, Aabenraa, Denmark.
Ole H NielsenDepartment of Gastroenterology, Herlev Hospital, University of Copenhagen, Herlev, Denmark.
Fredrik BergenheimDepartment of Gastroenterology, Herlev Hospital, University of Copenhagen, Herlev, Denmark.
Jacob B BrodersenDepartment of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Berit L HeitmannResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Thorhallur I HalldorssonFaculty of Food Science and Nutrition, School of Health Sciences, University of Iceland, Reykjavík, Iceland.
Uffe HolmskovDepartment of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Anette BygumDepartment of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark.
Robin ChristensenSection for Biostatistics and Evidence-Based Research, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Jens KjeldsenDepartment of Medical Gastroenterology, Odense University Hospital, Odense, Denmark.
Torkell EllingsenResearch Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark.
Vibeke AndersenThe Molecular Diagnostics and Clinical Research Unit, Departement of Blood Samples, Biochemistry and Immunology, University Hospital of Southern Denmark, Aabenraa, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biologic disease-modifying drugs have revolutionised the treatment of a number of chronic inflammatory diseases (CID). However, up to 60% of the patients do not have a sufficient response to treatment and there is a need for optimization of treatment strategies. Objective: To investigate if the treatment outcome of biological therapy is associated with the habitual dietary intake of fibre and red/processed meat in patients with a CID. Methods: In this multicentre prospective cohort study, we consecutively enrolled 233 adult patients with a diagnosis of Crohn's Disease, Ulcerative Colitis, Rheumatoid Arthritis (RA), Axial Spondyloarthritis, Psoriatic Arthritis and Psoriasis, for whom biologic therapy was planned, over a 3 year period. Patients with completed baseline food frequency questionnaires were stratified into a high fibre/low red and processed meat exposed group (HFLM) and an unexposed group (low fibre/high red and processed meat intake = LFHM). The primary outcome was the proportion of patients with a clinical response to biologic therapy after 14-16 weeks of treatment. Results: Of the 193 patients included in our primary analysis, 114 (59%) had a clinical response to biologic therapy. In the HFLM group ( Conclusion: Habitual HFLM intake did not affect the clinical response to biological treatment across CIDs. HFLM diet in RA patients might be associated with better odds for responding to biological treatment, but this would need confirmation in a randomised trial. Trial registration: (clinicaltrials.gov), identifier [NCT03173144].

Indexed as

biologic therapychronic inflammatory diseasedietfibreinflammatory bowel diseaseprocessed meatred meatrheumatoid arthritis

Identifiers

PMID36313095
PMCPMC9609158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.