Evidence map›Paper›PMID 41602773›Full record

ArticleFrontiers in microbiology2025

Risk factor analysis of

Elisetty Naga Pavana Sneha, Ekkoruparambil Sethurajan Sanjumon, Hung Nguyen-Viet, Zunjar Baburao Dubal, Kiran Narayan Bhilegaonkar, Haris Ayoub, Delia Grace Randolph, Bhuva Akash, Amit Gangwar, Sukanna Manoj and 6 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Elisetty Naga Pavana Sneha *Division of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Ekkoruparambil Sethurajan Sanjumon *Division of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Hung Nguyen-VietInternational Livestock Research Institute, Nairobi, Kenya.
Zunjar Baburao DubalDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Kiran Narayan BhilegaonkarDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Haris AyoubInternational Livestock Research Institute, National Agricultural Science Complex, New Delhi, India.
Delia Grace RandolphInternational Livestock Research Institute, Nairobi, Kenya.
Bhuva AkashDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Amit GangwarDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Sukanna ManojDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Dharavath PremkumarDivision of Epidemiology, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Himani DhanzeDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Bablu KumarDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Obli Rajendran Vinodh KumarDivision of Epidemiology, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Murthy Suman KumarDivision of Veterinary Public Health, ICAR-Indian Veterinary Research Institute, Izatnagar, India.
Ram Pratim DekaInternational Livestock Research Institute, National Agricultural Science Complex, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A cross-sectional study was conducted to evaluate microbiological risk factors associated with Methods: Following multistage cluster sampling design a total of 941 samples from three nodes (retailers, restaurants, consumer households) were collected. The retailers' samples ( Results: At the retail level, significant risk factors included unclean costumes (OR = 2.130, 95% CI, 1.348-3.367) and selling chicken meat in open space (OR = 1.675, 95% CI, 1.063-2.640). Conversely, trimmed nails (OR = 0.247, 95% CI, 0.154-0.398) and using glass covers (OR = 0.636, 95% CI, 0.404-1.00) for retail outlets were protective factors. At the restaurant level, using raw vegetables as garnish (OR = 4.257, 95% CI, 1.181-15.345) had significantly higher odds of pathogen presence. Protective factors included using separate cutting boards or knives (OR = 0.153, 95% CI, 0.052-0.447) and keeping bulk-cooked products hot (OR = 0.322, 95% CI, 0.113-0.920). At the consumer level, washing hands only before handling (OR = 12.60, 95% CI, 3.124-50.82) was found to be a significant risk factor. Protective factors included using separate cutting boards/knives for raw meat and vegetables (OR = 0.067, 95% CI, 0.017-0.262) and adding raw vegetables during cooking instead of adding after cooking (OR = 0.175, 95% CI, 0.052-0.585). Discussion: Findings indicate that retail-stage infrastructure and hygiene practices are primary drivers of contamination, and that pragmatic interventions are likely to reduce downstream foodborne risk.

Indexed as

Campylobacter spp.chicken meat value chainfood safetyL. monocytogenesrisk factorsSalmonella spp.

Identifiers

PMID41602773
PMCPMC12832963

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.