Evidence map›Paper›PMID 30139898›Full record

ArticleBMJ open2018

Assessing the completeness and accuracy of South African National Laboratory CD4 and viral load data: a cross-sectional study.

Ingrid Valerie Bassett, Mingshu Huang, Christie Cloete, Sue Candy, Janet Giddy, Simone Claire Frank, Robert A Parker

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Exploring HIV disease indicators at MDR-TB treatment initiation in South Africa.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2024
    Trial
  2. Cryptococcal Antigenemia in South African Children Living With HIV.The Pediatric infectious disease journal · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Assessing very advanced HIV disease in adolescent girls and young women.Southern African journal of HIV medicine · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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.

Ingrid Valerie BassettDivision of Infectious Disease, Massachusetts General Hospital, Boston, Massachusetts, USA.
Mingshu HuangMedical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Christie CloeteMcCord Hospital, Durban, South Africa.
Sue CandyCorporate Data Warehouse, Department of Information Technology, National Health Laboratory Services, Johannesburg, South Africa.
Janet GiddyMcCord Hospital, Durban, South Africa.
Simone Claire FrankDivision of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Robert A ParkerMedical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Linkage & Retention: A Randomized Trial to Optimize HIV/TB Care in South AfricaR01MH090326 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BASSETT, INGRID VALERIE · 2010 to 2014
$2.9M
What happens after diagnosis: Characterizing long-term HIV care trajectories and mortality in South AfricaR01MH108427 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BASSETT, INGRID VALERIE · 2016 to 2019
$1.7M
NIAID NIH HHS P30 AI060354NIMH NIH HHS R01 MH090326NIMH NIH HHS R01 MH108427
6 · The paper itself

Abstract

objectiveTo assess the accuracy of the South African National Health Laboratory Services (NHLS) corporate data warehouse (CDW) using a novel data cross-matching method.

methodsAdults (≥18 years) on antiretroviral therapy (ART) who visited a hospital-based HIV clinic in Durban from March to June 2012 were included. We matched patient identifiers, CD4 and viral load (VL) records from the HIV clinic's electronic record with the NHLS CDW according to a set of matching criteria for patient identifiers, test values and test dates. We calculated the matching rates for patient identifiers, CD4 and VL records, and an overall matching rate.

resultsNHLS returned records for 3498 (89.6%) of the 3906 individuals requested. Using our computer algorithm, we confidently matched 3278 patients (83.9% of the total request). Considering less than confident matches as well, and then manually reviewing questionable matches using only patient identifiers, only nine (0.3% of records returned by NHLS) of the suggested matches were judged incorrect.

conclusionsWe developed a data cross-matching method to evaluate national laboratory data and were able to match almost 9 of 10 patients with data we expected to find in the NHLS CDW. We found few questionable matches, suggesting that manual review of records returned was not essential. As the number of patients initiating ART in South Africa grows, maintaining a comprehensive and accurate national data repository is of critical importance, since it may serve as a valuable tool to evaluate the effectiveness of the country's HIV care system. This study helps validate the use of NHLS CDW data in future research on South Africa's HIV care system and may inform analyses in similar settings with national laboratory systems.

Indexed as

CD4 Lymphocyte CountData AccuracyViral LoadAdultAlgorithmsAnti-Retroviral AgentsCross-Sectional StudiesDrug MonitoringFemaleHIV InfectionsHumansMaleMiddle AgedSouth AfricaAnti-Retroviral AgentsCD4 and viral loaddata crossmatching methodHIV record matchingnational health laboratory services (NHLS)national laboratory systemsSouth Africa

Identifiers

PMID30139898
PMCPMC6112393

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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.