Evidence map›Paper›PMID 40202992›Full record

ArticlePLOS global public health2025

Rapid bacterial identification and resistance detection using a low complexity molecular diagnostic platform in Zimbabwe.

Tinashe Mwaturura, Ioana D Olaru, Gwendoline Chimhini, Mutsa Bwakura-Dangarembizi, Marcia Mangiza, Simbarashe Chimhuya, Belinda Sado, Jackie Katunga, Andrew Tarupiwa, Agnes Juru and 8 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

18 authors.

Tinashe MwatururaThe Health Research Unit, Biomedical Research and Training Institute, Harare, Zimbabwe.ORCID https://orcid.org/0009-0002-7572-4508
Ioana D OlaruClinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Gwendoline ChimhiniDepartment of Child, Adolescent and Women's Health, University of Zimbabwe Faculty of Medicine and Health Sciences, Harare, Zimbabwe.ORCID https://orcid.org/0000-0002-7280-3801
Mutsa Bwakura-DangarembiziDepartment of Child, Adolescent and Women's Health, University of Zimbabwe Faculty of Medicine and Health Sciences, Harare, Zimbabwe.
Marcia MangizaSally Mugabe Central Hospital, Harare, Zimbabwe.
Simbarashe ChimhuyaDepartment of Child, Adolescent and Women's Health, University of Zimbabwe Faculty of Medicine and Health Sciences, Harare, Zimbabwe.
Belinda SadoSally Mugabe Central Hospital, Harare, Zimbabwe.
Jackie KatungaSally Mugabe Central Hospital, Harare, Zimbabwe.
Andrew TarupiwaNational Microbiology Reference Laboratory, AMR unit, Harare, Zimbabwe.
Agnes JuruNational Microbiology Reference Laboratory, AMR unit, Harare, Zimbabwe.
Tapfumaneyi MasheNational Microbiology Reference Laboratory, AMR unit, Harare, Zimbabwe.
Christopher PasiSally Mugabe Central Hospital, Harare, Zimbabwe.
Veronicah ChuchuFoundation of Innovative Diagnostics, Medical Affairs Department, Geneva, Switzerland.
Seyi GansalloFoundation of Innovative Diagnostics, Medical Affairs Department, Geneva, Switzerland.
Birgitta GleesonFoundation of Innovative Diagnostics, Medical Affairs Department, Geneva, Switzerland.ORCID https://orcid.org/0009-0003-0791-7735
Felicity FitzgeraldThe Health Research Unit, Biomedical Research and Training Institute, Harare, Zimbabwe.
Cecilia FerreyraFoundation of Innovative Diagnostics, Medical Affairs Department, Geneva, Switzerland.
Katharina KranzerThe Health Research Unit, Biomedical Research and Training Institute, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a major cause of mortality in low-resource settings. Effective microbiological culture services are a bottleneck in diagnosis and surveillance.

aimWe aimed to evaluate the performance of the BIOFIRE FILMARRAY Blood Culture Identification 2 (BCID2, bioMérieux) assay in a low-resource setting laboratory in comparison to standard practice.

methodsThis five month prospective validation study included all positive blood cultures collected at Sally Mugabe Central Hospital, Harare, Zimbabwe. BCID2 testing was done in parallel to standard phenotypic procedures and resistance testing. Reference identification was performed using mass spectrometry or whole genome sequencing. Only samples with available reference standard results were included in the analysis. Data captured on paper-based forms was entered into electronic case report forms (ODK Collect). Specificity and sensitivity for BCID2 were calculated in comparison to the reference standards, with performance measures calculated using the Wilson score. Biomedical scientists using BCID2 completed a system usability survey (SUS).

resultsPositive results were recorded in 780/2,023 (38.5%) blood cultures, within which 377 (48.3%) had reference results and so were included in analysis. Neonatal samples were most frequent (182, 48.3%), then paediatric (150, 39.8%), then adults (18, 4.8%) and unknown (27, 7.2%). Specificity exceeded 95% throughout. Sensitivity ranged from 50% (A. calcoaceticus-baumanii complex, Proteus spp.) to 100% (S. pneumoniae, Salmonella spp). Using BCID2, CTX-M was detected in 111/175 (74.5%) Enterobacterales, from which 5/111 also had NDM and VIM detected. NDM-5 was detected in 2/5 NDM samples using sequencing. In total 3/23 S. aureus isolates were methicillin resistant, from which one was confirmed using phenotypic antimicrobial susceptibility testing. Usability was good (SUS score = 79.5).

conclusionRapid molecular tests have potential to improve turn-around time and quality of sepsis diagnostics. However, specific work-flows are critical to supplement molecular tests with minimal phenotypic tests for optimal clinical decision-making.

Identifiers

PMID40202992
PMCPMC11981161

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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.