Evidence map›Paper›PMID 35301410›Full record

SynthesisScientific reports2022

Systematic and meta-analysis of Mycobacterium avium subsp. paratuberculosis related type 1 and type 2 diabetes mellitus.

Temitope C Ekundayo, Ayodeji O Falade, Bright E Igere, Chidozie D Iwu, Mary A Adewoyin, Tosin A Olasehinde, Oluwatosin A Ijabadeniyi

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Current Perspectives onInternational journal of molecular sciences · 2026
    Review
  5. Pathogens (Basel, Switzerland) · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Pathogens (Basel, Switzerland) · 2024
    Article
  10. Review
  11. InvestigatingMicrobiology spectrum · 2023
    Article
  12. Article
  13. Genomic epidemiology ofFrontiers in genetics · 2023
    Article
  14. Quantitative Risk Assessment of Exposure toFoods (Basel, Switzerland) · 2022
    Article
  15. Global Phylogeny ofFrontiers in microbiology · 2022
    Article
  16. 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

7 authors.

Temitope C EkundayoDepartment of Biotechnology and Food Science, Durban University of Technology, Steve Biko Campus, Health Services, 121 Steve Biko Rd, Musgrave, Berea, Durban, 4001, South Africa. cyruscyrusthem@gmail.com.
Ayodeji O FaladeBiotechnology, Computational Biochemistry and Phytomedicine Research Group, Department of Biochemistry, University of Medical Sciences, Ondo City, Ondo State, Nigeria.
Bright E IgereDepartment of Microbiology and Biotechnology, Western Delta University, Oghara, Delta State, Nigeria.
Chidozie D IwuSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Mary A AdewoyinDepartment of Biological Sciences, Anchor University, Ayobo Road, Ipaja, Lagos, Nigeria.
Tosin A OlasehindeNutrition and Toxicology Division, Food Technology Department, Federal Institute of Industrial Research Oshodi, Lagos, Nigeria.
Oluwatosin A IjabadeniyiDepartment of Biotechnology and Food Science, Durban University of Technology, Steve Biko Campus, Health Services, 121 Steve Biko Rd, Musgrave, Berea, Durban, 4001, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global increase in diabetes (DM) prevalence necessitated the need to establish the association between DM and environmental triggers including MAP (Mycobacterium avium subsp. paratuberculosis) that have been postulated to play a role in DM etiopathology for effective management. The present investigation aimed to assess the odds ratio (OR) presenting the association between MAP and DM. MAP-related DM studies were systematically retrieved from 6 databases until 31 September 2021 according to PRISMA principles for data abstraction. The abstracted dataset was fitted to the fixed-effects (FE) and random-effects (RE) models using the Mantel-Haenszel approach. Sixteen studies involving 2072 participants (1152 DM patients (957 type 1 diabetes mellitus (T1DM) & 195 type 2 diabetes mellitus (T2DM)) and 920 healthy controls) met the inclusion criteria. Results revealed a significant association between anti-MAP antibodies (abs) seroprevalence and T1DM (FE: OR 7.47, 95% CI 5.50-10.14, p value < 0.0001; RE: OR 7.92, 95% CI 4.39-14.31, p < 0.0001) and MAP DNA with T1DM (FE: OR 4.70 (95% CI 3.10-7.13, p value < 0.0001), RE: OR 3.90 (95% CI 0.93-16.38, p value = 0.06)). Both anti-MAP abs and MAP DNA based meta-analyses had medium heterogeneity (I

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Mycobacterium avium subsp. paratuberculosisAnimalsHumansSeroepidemiologic Studies

Identifiers

PMID35301410
PMCPMC8930973

What OpenQuestion holds

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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.