Evidence map›Paper›PMID 39239033›Full record

ReviewAnnals of medicine and surgery (2012)2024

Strengthening laboratory systems for ensuring accurate diagnoses in mother-to-child transmission (MTCT) prevention programs in Uganda: a narrative review.

Emmanuel Ifeanyi Obeagu, Getrude Uzoma Obeagu

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
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

2 authors.

Emmanuel Ifeanyi ObeaguDepartment of Medical Laboratory Science.
Getrude Uzoma ObeaguSchool of Nursing Science, Kampala International University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mother-to-child transmission (MTCT) of HIV remains a significant public health challenge in Uganda, necessitating a focused examination of the state of laboratory systems to ensure accurate diagnoses and effective prevention. The aim of this narrative review is to assess the current state of laboratory systems supporting MTCT prevention programs in Uganda, identify challenges hindering accurate diagnoses, and propose strategies for strengthening these systems to enhance the effectiveness of MTCT prevention efforts. This narrative review explores the current landscape of laboratory infrastructure in Uganda, addressing challenges unique to the country and proposing strategies for improvement. The discussion encompasses the integration of molecular testing, the role of point-of-care diagnostics, the implementation of quality assurance programs, and capacity-building initiatives for laboratory personnel. Additionally, technological innovations and their applicability in the Ugandan context are explored alongside the crucial aspect of integrating laboratory services into antenatal care. Drawing on global lessons, the review provides tailored recommendations for Uganda, spanning policy considerations, funding mechanisms, infrastructure enhancements, and workforce development. Looking towards the future, the review outlines potential collaborations, technological advancements, and strategic investments that can further fortify laboratory systems, ultimately contributing to the elimination of MTCT in Uganda.

Indexed as

antenatal careHIV diagnosislaboratory systemsmaternal healthMTCT preventionUgandavertical transmission

Identifiers

PMID39239033
PMCPMC11374211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.