Evidence map›Paper›PMID 9929359›Full record

ArticleProceedings. AMIA Symposium1998

Integrating molecular diagnostic and flow cytometric reporting for improved longitudinal monitoring of HIV patients.

A L Asare, H Huda, J C Klimczak, C W Caldwell

Abstract read
In one paragraph

Article in Proceedings. AMIA Symposium, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

A L AsareDepartment of Health Management & Informatics, University of Missouri-Columbia, School of Medicine, USA.
H Huda
J C Klimczak
C W Caldwell

Funding

MU Biomedical Informatics Research Training ProgramT15LM007089 · NLM · UNIVERSITY OF MISSOURI-COLUMBIA · PI SIMOES, EDUARDO J · 1992 to 2011
$6.9M
NLM NIH HHS LM07089
6 · The paper itself

Abstract

Studies have shown that monitoring HIV-infected patients undergoing antiretroviral therapy is best represented by combined measurement of plasma HIV-1 RNA and CD4+ T-lymphocytes [1]. This pilot study at the University of Missouri-Columbia integrates molecular diagnostic and flow cytometric data reporting to provide current and historical HIV-1 RNA levels and CD4+ T-cell counts. The development of a single database for storage and retrieval of these values facilitates composite report generation that includes longitudinal HIV-1 RNA levels and CD4+ T-cell counts for all patients. Results are displayed in tables and plotted graphically within a web browser. This method of data presentation converts individual data points to more useful medical information and could provide clinicians with decision support for improved monitoring of HIV patients undergoing antiretroviral therapy.

Indexed as

Flow CytometryGenetic TechniquesAnti-HIV AgentsCD4 Lymphocyte CountClinical Laboratory Information SystemsComputer Communication NetworksDatabases as TopicDisease ProgressionDrug MonitoringHIV-1HIV InfectionsHumansMedical Records Systems, ComputerizedMolecular BiologyRNA, ViralSystems IntegrationAnti-HIV AgentsRNA, Viral

Identifiers

PMID9929359
PMCPMC2232198

What OpenQuestion holds

Textmetadata
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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.