Evidence map›Paper›PMID 19450331›Full record

SynthesisBMJ clinical evidence2008

HIV: mother-to-child transmission.

Jimmy Volmink, Ben Marais

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ clinical evidence, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

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  18. Dolutegravir for pregnant women living with HIV.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2020
    Article
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  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

2 authors.

Jimmy VolminkFaculty of Health Sciences, Stellenbosch University, Tygerberg (Cape Town), South Africa.
Ben Marais

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOver 2 million children are thought to be living with HIV/AIDS worldwide, of whom over 80% live in sub-Saharan Africa. Without anti-retroviral treatment, the risk of HIV transmission from infected mothers to their children is 15-30% during gestation or labour, and 15-20% during breast feeding. HIV-1 infection accounts for most infections; HIV-2 is rarely transmitted from mother to child. Transmission is more likely in mothers with high viral loads and/or advanced disease, in the presence of other sexually transmitted diseases, and with increased exposure to maternal blood. METHODS AND OUTCOMES: We conducted a systematic review and aimed to answer the following clinical question: What are the effects of measures to reduce mother to child transmission of HIV? We searched: Medline, Embase, The Cochrane Library and other important databases up to January 2007 (Clinical Evidence reviews are updated periodically, please check our website for the most up-to-date version of this review). We included harms alerts from relevant organisations such as the US Food and Drug Administration (FDA) and the UK Medicines and Healthcare products Regulatory Agency (MHRA). We performed a GRADE evaluation of the quality of evidence for interventions.

resultsWe found 18 systematic reviews, RCTs, or observational studies that met our inclusion criteria.

conclusionsIn this systematic review we present information relating to the effectiveness and safety of the following interventions: antiretroviral drugs, different methods of infant feeding, elective caesarean section, immunotherapy, vaginal microbicides, and vitamin supplements.

Indexed as

Infectious Disease Transmission, VerticalMothersHIV-1HIV-2HIV InfectionsHumans

Identifiers

PMID19450331
PMCPMC2907958

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.