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Record W4410153869 · doi:10.1371/journal.pone.0322362

Performance of BIOCREDIT Pf/Pv lactate dehydrogenase-based malaria rapid diagnostic test among pregnant women with suspected malaria infection in Bahir Dar City Administration, northwest Ethiopia

2025· article· en· W4410153869 on OpenAlexaff
Banchamlak Tegegne, Endalkachew Nibret, Abaineh Munshea Abitew, Mekonnen Teferi, Mulat Yimer, Getaneh Alemu, Delenasaw Yewhalaw, Dylan R. Pillai

Bibliographic record

VenuePLoS ONE · 2025
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMalariaMedicineRapid diagnostic testLactate dehydrogenasePlasmodium falciparumPregnancyObstetricsPlasmodium vivaxImmunologyInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Malaria during pregnancy is a common public health problem in sub-Saharan Africa. It poses a double burden as it affects the health of mothers, their fetuses and neonates. Moreover, due to malaria parasites sequestration in the placenta, microscopy might miss infections. Hence, rapid diagnostic tests (RDTs) are good alternatives for diagnosing malaria in pregnancy even at health facilities or periphery or lower-level healthcare facilities (e.g., health posts). However, performance of RDTs should be closely monitored as their sensitivity and specificity are affected by many factors. METHODS: A health facility-based cross-sectional study was conducted among 302 pregnant women with suspected malaria infection to evaluate the performance of the newly introduced BIOCREDIT Pf/Pv plasmodial lactate dehydrogenase (pLDH) RDT. Venous blood samples were collected from all eligible pregnant women and tested for Plasmodium infection using BIOCREDIT Pf/Pv and CareStart™ Pf/Pv RDTs, microscopy and polymerase chain reaction (PCR) following standard protocols. The performance of BIOCREDIT Pf/Pv was evaluated using the following parameters: sensitivity, specificity, positive and negative predictive values and kappa-value. These parameters were calculated using online SISA software. RESULTS: Of the 302 pregnant women with complete data, 166 (55.0%), 180 (59.6%), 191 (63.2%) and 207 (68.5%) tested positive by CareStart™ Pf/Pv, BIOCREDIT Pf/Pv, microscopy and PCR, respectively. The sensitivity of BIOCREDIT Pf/Pv in detecting P. falciparum was 89.4%, 75.4% and 55.6% as compared to CareStart™ Pf/Pv, microscopy and PCR tests, respectively, while the sensitivity for P. vivax was 81.8%, 84.3% and 86.7%, respectively. The specificity of BIOCREDIT Pf/Pv was > 90% when compared to all the three diagnostic tests. When considering PCR as a reference test, BIOCREDIT Pf/Pv was more sensitive (55.6%) than CareStart™ Pf/Pv (37.6%) for detecting P. falciparum but had similar sensitivity (86.7%) in detecting P. vivax. CONCLUSIONS: BIOCREDIT Pf/Pv performed better for the diagnosis of P. falciparum infection in pregnant women than the previously in-use CareStart™ Pf/Pv. We recommend using the BIOCREDIT Pf/Pv RDT in Ethiopia for the diagnosis of both species given the high prevalence and widespread nature of the hrp2/3 gene deletion in the country.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.230
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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