Evidence map›Paper›PMID 16369306›Full record

ArticleMedGenMed : Medscape general medicine2005

Pregnancy and other factors associated with higher CD4+ T-cell counts at HIV diagnosis in Southeast Michigan, 1992-2002.

Linda L Wotring, JoLynn P Montgomery, Eve D Mokotoff, Joseph N Inungu, Norman Markowitz, Lawrence R Crane

Open access · greenAbstract read
In one paragraph

Article in MedGenMed : Medscape general medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Linda L WotringMichigan Department of Community Health, Detroit, Michigan, USA.
JoLynn P Montgomery
Eve D Mokotoff
Joseph N Inungu
Norman Markowitz
Lawrence R Crane
Michigan Department of Health and Human Services · US

Funding

ODCDC CDC HHS CCU 506 228
6 · The paper itself

Abstract

backgroundEarly diagnosis of HIV infection provides the opportunity for treatment to prevent progression to AIDS and for intervention to prevent further transmission. The impact of routine screening of pregnant women and other factors on the stage of HIV disease at diagnosis were evaluated.

methodsData were collected in 1992-2002 from the medical records of persons presenting for HIV-related care at 2 major medical centers in Detroit, Michigan. Patients were included in the analysis if they had a CD4+ T-cell count recorded within 6 months of their first positive HIV test (N = 1858).

resultsHalf of the patients (49%) had a first CD4+ T-cell count of < 200 cells/mm3 and 19% had an AIDS-defining illness at the time of HIV diagnosis. In the multivariate model, pregnant women were less likely than nonpregnant women to enter care with a CD4+ T-cell count of < 200 cells/mm3 (odds ratio, .24; 95% confidence interval, .14-.41). Even after adjusting for pregnancy, female sex was protective, as was age < 30 years. HIV-transmission risk factors, race, and time period of HIV diagnosis were not significantly associated with first CD4+ T-cell counts of < 200 cells/mm3.

conclusionRoutinely offering HIV testing in prenatal care, as required by Michigan law, resulted in earlier diagnoses of HIV in pregnant women, as indicated by their higher CD4+ T-cell counts. Increasing routine HIV testing of all persons seeking medical care may increase the overall proportion of HIV diagnoses that are made early in the disease process.

Indexed as

CD4 Lymphocyte CountPrenatal CareAdultFemaleHIV SeropositivityHumansMichiganPregnancyPregnancy Complications, Infectious

Identifiers

PMID16369306
PMCPMC1681393
OpenAlexW163260970

What OpenQuestion holds

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Registered trials

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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.