Evidence map›Paper›PMID 30487166›Full record

ReviewClinical microbiology reviews2019

Diagnosis of Human Immunodeficiency Virus Infection.

Bharat S Parekh, Chin-Yih Ou, Peter N Fonjungo, Mireille B Kalou, Erin Rottinghaus, Adrian Puren, Heather Alexander, Mackenzie Hurlston Cox, John N Nkengasong

Abstract readHistorical ArticleReview
In one paragraph

Review in Clinical microbiology reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–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

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Analytical and Clinical Performance of VIDASDiagnostics (Basel, Switzerland) · 2026
    Article
  4. Attomolar Detection of HIV-1 With Label-Free RCA-rCRISPR on Smartphone.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Nucleic acid amplification testing using dried blood spots to confirm the diagnosis of HIV-1 in adults.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Bharat S ParekhInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Chin-Yih OuInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Peter N FonjungoInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mireille B KalouInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Erin RottinghausInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Adrian PurenNational Institute for Communicable Diseases/NHLS, Johannesburg, South Africa.
Heather AlexanderInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mackenzie Hurlston CoxInternational Laboratory Branch, Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
John N NkengasongAfrica Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia nkengasongj@africa-union.org.

Funding

PEPFAR
6 · The paper itself

Abstract

HIV diagnostics have played a central role in the remarkable progress in identifying, staging, initiating, and monitoring infected individuals on life-saving antiretroviral therapy. They are also useful in surveillance and outbreak responses, allowing for assessment of disease burden and identification of vulnerable populations and transmission "hot spots," thus enabling planning, appropriate interventions, and allocation of appropriate funding. HIV diagnostics are critical in achieving epidemic control and require a hybrid of conventional laboratory-based diagnostic tests and new technologies, including point-of-care (POC) testing, to expand coverage, increase access, and positively impact patient management. In this review, we provide (i) a historical perspective on the evolution of HIV diagnostics (serologic and molecular) and their interplay with WHO normative guidelines, (ii) a description of the role of conventional and POC testing within the tiered laboratory diagnostic network, (iii) information on the evaluations and selection of appropriate diagnostics, (iv) a description of the quality management systems needed to ensure reliability of testing, and (v) strategies to increase access while reducing the time to return results to patients. Maintaining the central role of HIV diagnostics in programs requires periodic monitoring and optimization with quality assurance in order to inform adjustments or alignment to achieve epidemic control.

Indexed as

Diagnostic Tests, RoutineHistory, 20th CenturyHistory, 21st CenturyHIVHIV InfectionsHumansCD4dried blood spotsdrug resistanceearly infant diagnosisenzyme immunoassayHIV incidenceHIV rapid testspoint-of-care testingquality assuranceviral load

Identifiers

PMID30487166
PMCPMC6302353

What OpenQuestion holds

Textmetadata
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.