Evidence map›Paper›PMID 24691253›Full record

SynthesisPloS one2014

Regional variation in the prevalence of E. coli O157 in cattle: a meta-analysis and meta-regression.

Md Zohorul Islam, Alfred Musekiwa, Kamrul Islam, Shahana Ahmed, Sharmin Chowdhury, Abdul Ahad, Paritosh Kumar Biswas

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Prevalence and Serotype Diversity ofFrontiers in veterinary science · 2019
    Pooled it
  6. Article
  7. Article
  8. Article
  9. Shiga toxin-producingMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  10. Shiga Toxin-ProducingMicroorganisms · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Occurrence of Multi-Drug ResistantInfection and drug resistance · 2020
    Article
  18. Article
  19. Article
  20. Review
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.

Md Zohorul IslamDepartment of Microbiology, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Alfred MusekiwaSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Kamrul IslamDepartment of Microbiology, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Shahana AhmedChittagong Veterinary Laboratory, Chittagong, Bangladesh.
Sharmin ChowdhuryDepartment of Pathology and Parasitology, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Abdul AhadDepartment of Microbiology, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh.
Paritosh Kumar BiswasDepartment of Microbiology, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEscherichia coli O157 (EcO157) infection has been recognized as an important global public health concern. But information on the prevalence of EcO157 in cattle at the global and at the wider geographical levels is limited, if not absent. This is the first meta-analysis to investigate the point prevalence of EcO157 in cattle at the global level and to explore the factors contributing to variation in prevalence estimates.

methodsSeven electronic databases- CAB Abstracts, PubMed, Biosis Citation Index, Medline, Web of Knowledge, Scirus and Scopus were searched for relevant publications from 1980 to 2012. A random effect meta-analysis model was used to produce the pooled estimates. The potential sources of between study heterogeneity were identified using meta-regression. PRINCIPAL

findingsA total of 140 studies consisting 220,427 cattle were included in the meta-analysis. The prevalence estimate of EcO157 in cattle at the global level was 5.68% (95% CI, 5.16-6.20). The random effects pooled prevalence estimates in Africa, Northern America, Oceania, Europe, Asia and Latin America-Caribbean were 31.20% (95% CI, 12.35-50.04), 7.35% (95% CI, 6.44-8.26), 6.85% (95% CI, 2.41-11.29), 5.15% (95% CI, 4.21-6.09), 4.69% (95% CI, 3.05-6.33) and 1.65% (95% CI, 0.77-2.53), respectively. Between studies heterogeneity was evidenced in most regions. World region (p<0.001), type of cattle (p<0.001) and to some extent, specimens (p = 0.074) as well as method of pre-enrichment (p = 0.110), were identified as factors for variation in the prevalence estimates of EcO157 in cattle.

conclusionThe prevalence of the organism seems to be higher in the African and Northern American regions. The important factors that might have influence in the estimates of EcO157 are type of cattle and kind of screening specimen. Their roles need to be determined and they should be properly handled in any survey to estimate the true prevalence of EcO157.

Indexed as

AnimalsCattleCattle DiseasesEscherichia coli InfectionsEscherichia coli O157Geography, MedicalGlobal HealthPrevalence

Identifiers

PMID24691253
PMCPMC3972218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.