Evidence map›Paper›PMID 33552307›Full record

ArticleStatistics in biosciences2020

Comparison of HIV prevalence among antenatal clinic attendees estimated from routine testing and unlinked anonymous testing.

Ben Sheng, Jeffrey W Eaton, Mary Mahy, Le Bao

Open access · greenAbstract read
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Article in Statistics in biosciences, 2020. 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
0.1field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

4 authors at 3 institutions in 3 countries.

Ben ShengDepartment of Statistics, Pennsylvania State University, 325 Thomas Building, University Park, PA 16802, USA.
Jeffrey W EatonDepartment of Infectious Disease Epidemiology, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, United Kingdom.
Mary MahyUNAIDS, Avenue Appia 20, 1211 Geneve, Switzerland.
Le BaoDepartment of Statistics, Pennsylvania State University, 325 Thomas Building, University Park, PA 16802, USA.
Pennsylvania State University · USImperial College London · GBJoint United Nations Programme on HIV/AIDS · CH

Funding

Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
Quantifying Spatial Representativeness and Uncertainty in Antenatal Care Sentinel Surveillance for HIV in Sub-Saharan Africa.R03AI125001 · NIAID · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI EATON, JEFFREY WILLIAM · 2017 to 2018
$105k
Medical Research Council MR/R015600/1NIAID NIH HHS R01 AI136664NIAID NIH HHS R03 AI125001World Health Organization 001
6 · The paper itself

Abstract

In 2015, WHO and UNAIDS released new guidance recommending that countries transition from conducting antenatal clinic (ANC) unlinked anonymous testing (ANC-UAT) for tracking HIV prevalence trends among pregnant women to using ANC routine testing (ANC-RT) data, which are more consistent and economic to collect. This transition could pose challenges for distinguishing whether changes in observed prevalence are due to a change in underlying population prevalence or due to a change in the testing approach. We compared the HIV prevalence measured from ANC-UAT and ANCRT in 15 countries that had both data sources in overlapping years. We used linear mixed-e effects model (LMM) to estimate the RT-to-UAT calibration parameter as well as other unobserved quantities. We summarized the results at different levels of aggregation (e.g., country, urban, rural, and province). Based on our analysis, the HIV prevalence measured by ANC-UAT and ANC-RT data are consistent in most countries. Therefore, if large discrepancy is observed between ANC-UAT and ANC-RT at the same location, we recommend that people should be cautious and investigate the reason. For countries that lack information to estimate the calibration parameter, we propose an informative prior distribution of mean 0 and standard deviation 0.2 for the RT-to-UAT calibration parameter.

Indexed as

Antenatal clinicCalibration parameterHIV prevalenceLinear mixed-effects modelRoutine HIV testingUnlinked anonymous HIV testing

Identifiers

PMID33552307
PMCPMC7863791
OpenAlexW3007640258

What OpenQuestion holds

Textmetadata
LicenceTDM
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.