Evidence map›Paper›PMID 38813194›Full record

ArticleHeliyon2024

Bacterial diversity, antibiogram and nutritional assessment of cowhide (Ponmo) in Ilishan-Remo central market, Nigeria.

Mensah-Agyei Grace Oluwatoyin, Adaramola Feyisara Banji, Akpan Nevillah Nice, Egbeobawaye Jennifer Orobosa, Akeredolu Abosede Abolanle, Enitan Seyi Samson, Ajibade Oluwatosin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Mensah-Agyei Grace OluwatoyinDepartment of Microbiology, Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Adaramola Feyisara BanjiDepartment of Basic Science, Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Akpan Nevillah NiceDepartment of Microbiology, Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Egbeobawaye Jennifer OrobosaDepartment of Microbiology, Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Akeredolu Abosede AbolanleDepartment of Medical Microbiology, Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Enitan Seyi SamsonDepartment of Medical Laboratory Science, Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Ajibade OluwatosinDepartment of Microbiology, Adeleke University Ede, Osun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for cowhide (ponmo) is currently very high, particularly in Nigeria, due to rising commodity prices, including animal proteins, which has forced a larger percentage of the population who cannot afford meat, chicken, turkey or eggs to rely on other meat products such as "ponmo," "kundi," and "tinko" as an alternative source of protein. This research aims to identify microorganisms associated with ponmo, determine the antibiogram of the isolates, and assess the nutritional value of ponmo marketed in Ilishan-Remo central market. Six ponmo vendors were sampled for Dry White Ponmo (DWP), Wet White Ponmo (WWP), Wet Brown Ponmo (WBP) and Brown Ponmo Water (BPW) and transported in sterile containers to the Laboratory for analysis to determine the microbial load, sensitivity, and proximate analysis using standardized methods. For microbiological analysis, samples were tested in triplicate. All samples analyzed had a high microbial load count (from 1.1 x 10

Indexed as

Microbial loadMultidrug resistanceNutritional contentPonmoProximate analysis

Identifiers

PMID38813194
PMCPMC11133659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.