Evidence map›Paper›PMID 33072806›Full record

ReviewOpen forum infectious diseases2020

Diagnostic Infectious Diseases Testing Outside Clinics: A Global Systematic Review and Meta-analysis.

Eneyi E Kpokiri, Gifty Marley, Weiming Tang, Noah Fongwen, Dan Wu, Sima Berendes, Bhavana Ambil, Sarah-Jane Loveday, Ranga Sampath, Jennifer S Walker and 4 more

Abstract readReview
In one paragraph

Review in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Observational
  16. Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases.Computational and mathematical methods in medicine · 2022
    Review
  17. Article
  18. 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

14 authors.

Eneyi E KpokiriFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-1180-1439
Gifty MarleySchool of Public Health, Nanjing Medical University, Jiangsu, China.
Weiming TangDermatology Hospital, Southern Medical University, Guangzhou, China.
Noah FongwenFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Dan WuFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-0415-5467
Sima BerendesFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Bhavana AmbilDepartment of Global Health, North Carolina State University, Raleigh, North Carolina, USA.
Sarah-Jane LovedayFoundation for Innovative New Diagnostics, Switzerland.
Ranga SampathFoundation for Innovative New Diagnostics, Switzerland.
Jennifer S WalkerHealth Sciences Library, University of North Carolina, Chapel Hill, North Carolina, USA.
Joseph K B MatovuMakerere University School of Public Health, Kampala, Uganda.
Catharina BoehmeFoundation for Innovative New Diagnostics, Switzerland.
Nitika Pant PaiCORE, Research Institute of McGill University Health Centre, Montreal, Quebec, Canada.
Joseph D TuckerFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

Funding

ITEST: Innovative Tools to Expand Youth-Friendly HIV Self-TestingUG3HD096929 · NICHD · SAINT LOUIS UNIVERSITY · PI EZECHI, OLIVER CHUKWUJEKWU, IWELUNMOR, JULIET · 2018 to 2019
$2.3M
Mentoring Multidisciplinary Global HIV Patient-Oriented ResearchK24AI143471 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph David Tucker · 2019 to 2026
$1.4M
NIAID NIH HHS K24 AI143471NICHD NIH HHS UG3 HD096929
6 · The paper itself

Abstract

backgroundMost people around the world do not have access to facility-based diagnostic testing, and the gap in availability of diagnostic tests is a major public health challenge. Self-testing, self-sampling, and institutional testing outside conventional clinical settings are transforming infectious disease diagnostic testing in a wide range of low- and middle-income countries (LMICs). We examined the delivery models of infectious disease diagnostic testing outside clinics to assess the impact on test uptake and linkage to care.

methodsWe conducted a systematic review and meta-analysis, searching 6 databases and including original research manuscripts comparing testing outside clinics with conventional testing. The main outcomes were test uptake and linkage to care, delivery models, and adverse outcomes. Data from studies with similar interventions and outcomes within thematic areas of interest were pooled, and the quality of evidence was assessed using GRADE. This study was registered in PROSPERO (CRD42019140828).We identified 10 386 de-duplicated citations, and 76 studies were included. Data from 18 studies were pooled in meta-analyses. Studies focused on HIV (48 studies), chlamydia (8 studies), and multiple diseases (20 studies). HIV self-testing increased test uptake compared with facility-based testing (9 studies: pooled odds ratio [OR], 2.59; 95% CI, 1.06-6.29; moderate quality). Self-sampling for sexually transmitted infections increased test uptake compared with facility-based testing (7 studies: pooled OR, 1.74; 95% CI, 0.97-3.12; moderate quality).

Indexed as

decentralizedHIVinfectious diseasesself-collectionself-testingSTD

Identifiers

PMID33072806
PMCPMC7545117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.