Evidence map›Paper›PMID 34330850›Full record

ArticleBMJ open2021

Clinical utility of peptide microarrays in the serodiagnosis of neglected tropical diseases in sub-Saharan Africa: protocol for a diagnostic test accuracy systematic review.

Arthur Vengesai, Thajasvarie Naicker, Maritha Kasambala, Herald Midzi, Tariro Mduluza-Jokonya, Simbarashe Rusakaniko, Takafira Mduluza

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Arthur VengesaiBiotechnology and Biochemistry, University of Zimbabwe Faculty of Science, Harare, Zimbabwe arthurvengesai@gmail.com.ORCID 0000-0002-7629-6843
Thajasvarie NaickerCollege of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Maritha KasambalaFaculty of Science and Agriculture, University of KwaZulu-Natal, Durban, South Africa.
Herald MidziBiotechnology and Biochemistry, University of Zimbabwe Faculty of Science, Harare, Zimbabwe.
Tariro Mduluza-JokonyaCollege of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0002-1219-6464
Simbarashe RusakanikoCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Takafira MduluzaBiotechnology and Biochemistry, University of Zimbabwe Faculty of Science, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeglected tropical diseases tend to cluster in the same poor populations and, to make progress with their control, they will have to be dealt with in an integrated manner. Peptide microarrays may be a solution to these problems, where diagnosis for co-infection can be detected simultaneously using the one tool. A meta-analysis using hierarchical models will be performed to assess the diagnostic accuracy of peptide microarrays for detecting schistosomiasis ( METHODS AND ANALYSIS: A comprehensive search of the following databases will be performed: Cochrane Infectious Diseases Group Specialised Register, PubMed, EMBASE and The Web of Science. Studies comparing peptide microarrays with a reference standard from a random or consecutive series of patients will be included in the study. Two review authors will independently screen titles and abstracts for relevance, assess full-text articles for inclusion and carry out data extraction using a tailored data extraction form. The quality Assessment of Diagnostic Accuracy Studies-2 tool will be used to assess the quality of the selected studies. The bivariate model and the hierarchical summary receiver operating characteristic curve model will be performed to evaluate the diagnostic accuracy of the peptide microarrays. Meta-regression analyses will be performed to investigate heterogeneity across studies. ETHICS AND DISSEMINATION: There is no requirement for ethical approval because the work will be carried out using previously published data, without human beings involvement. Findings will be disseminated through peer-reviewed publication and in conference presentations. PROSPERO REGISTRATION NUMBER: CRD42020175145.

Indexed as

Diagnostic Tests, RoutineSchistosomiasisAfrica South of the SaharaHumansMeta-Analysis as TopicPeptidesSerologic TestsSystematic Reviews as TopicPeptidesbiochemistrydiagnostic microbiologyinfectious diseases & infestationsprotocols & guidelinesstatistics & research methodstropical medicine

Identifiers

PMID34330850
PMCPMC8327806

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Registered trials

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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.