Evidence map›Paper›PMID 33447131›Full record

ArticleThe Malaysian journal of medical sciences : MJMS2020

Development of an Immunodiagnostic Test for Screening Human Brucellosis Cases Using the Whole-Cell Antigens of Brucella abortus.

Nidhi M Bhartiya, Aliabbas A Husain, Hatim F Daginawala, Lokendra Singh, Rajpal S Kashyap

Open access · diamondAbstract read
In one paragraph

Article in The Malaysian journal of medical sciences : MJMS, 2020. 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
0.6field-weighted citation impact, top 30% of its field
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, 7 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Nidhi M BhartiyaBiochemistry Research Laboratory, Central India Institute of Medical Sciences, Nagpur, India.
Aliabbas A HusainBiochemistry Research Laboratory, Central India Institute of Medical Sciences, Nagpur, India.
Hatim F DaginawalaBiochemistry Research Laboratory, Central India Institute of Medical Sciences, Nagpur, India.
Lokendra SinghBiochemistry Research Laboratory, Central India Institute of Medical Sciences, Nagpur, India.
Rajpal S KashyapBiochemistry Research Laboratory, Central India Institute of Medical Sciences, Nagpur, India.
Central India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman brucellosis is an important zoonotic disease of public health and often remains neglected owing to lack of sensitive and efficient diagnostic methods. This study evaluates diagnostic utility of in-house designed enzyme-linked immunosorbent assay (ELISA) using whole-cell antigens of

methodsA prospective cohort study involving different populations within the Vidarbha regions of Maharashtra, India was conducted through camps organised from May 2009 to October 2015. A total of 568 serum samples were collected from high-risk people recruited as study cohorts based on inclusion criteria, additional risk factors and clinical symptoms. Samples were evaluated by indirect ELISA using the whole-cell antigens of

resultsFever, body ache, joint pain, lower back pain, loss of appetite and weight loss were major symptoms associated with the disease. With the cut-off of > 0.8, the positivity of brucellosis infection was at 12.32% (70/568) compared to 9.33% (53/568) as detected by the commercial kit. The in-house developed ELISA method yielded a sensitivity of 87.5% and specificity of 99.18% as compared to the commercial kits (sensitivity -80.30% and specificity -99.6%). DISCUSSION: The

Indexed as

brucellosisdiagnosisindirect ELISAwhole-cell antigens

Identifiers

PMID33447131
PMCPMC7785268
OpenAlexW3114438673

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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.