Evidence map›Paper›PMID 34438713›Full record

ArticleAnimals : an open access journal from MDPI2021

Incidence, Etiology, and Risk Factors of Clinical Mastitis in Dairy Cows under Semi-Tropical Circumstances in Chattogram, Bangladesh.

Shuvo Singha, Gerrit Koop, Ylva Persson, Delower Hossain, Lauren Scanlon, Marjolein Derks, Md Ahasanul Hoque, Md Mizanur Rahman

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. New microbes and new infections · 2026
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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

8 authors.

Shuvo SinghaDepartment of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0001-7350-1111
Gerrit KoopUdder Health Bangladesh, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0002-8752-0193
Ylva PerssonUdder Health Bangladesh, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0002-6099-3759
Delower HossainUdder Health Bangladesh, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0001-9269-5353
Lauren ScanlonUdder Health Bangladesh, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
Marjolein DerksUdder Health Bangladesh, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
Md Ahasanul HoqueDepartment of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
Md Mizanur RahmanDepartment of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0002-3217-6866

Funding

Swedish Research Council Project reg: 2015-05897
6 · The paper itself

Abstract

Clinical mastitis (CM) is an important production disease in dairy cows, but much of the knowledge required to effectively control CM is lacking, specifically in low-income countries where most farms are small and have specific dairy management, such as regular udder cleaning and practicing hand milking. Therefore, we conducted a 6-month-long cohort study to (a) estimate the incidence rate of clinical mastitis (IRCM) at the cow and quarter level, (b) identify risk factors for the occurrence of CM, (c) describe the etiology of CM, and (d) quantify antimicrobial susceptibility (AMS) against commonly used antimicrobial agents in

Indexed as

antimicrobial resistanceclinical mastitisincidence rateMALDI-TOFpathogens

Identifiers

PMID34438713
PMCPMC8388477

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.