Evidence map›Paper›PMID 23998059›Full record

ArticleJournal of clinical and diagnostic research : JCDR2013

A Study of Alternate Biomarkers in HIV Disease and Evaluating their Efficacy in Predicting T CD4+ Cell Counts and Disease Progression in Resource Poor Settings in Highly Active Antiretroviral Therapy (HAART) Era.

K V Ramana, V Sabitha, Ratna Rao

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Stem cell-based therapies for HIV/AIDS.Advanced drug delivery reviews · 2016
    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

3 authors at 1 institution in 1 country.

K V RamanaDepartment of Microbiology, Apollo Health City , Jubilee Hills, Hyderabad, Andhra Pradesh, India .
V Sabitha
Ratna Rao
Apollo Hospitals · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHuman Immunodeficiency Virus (HIV), the causative agent of AIDS, has been a challenge to medical fraternity since it was first discovered in 1983. About 40 million people are living with HIV infection globally and 99% of the infected people are in south East Asia (SEA). Traditionally, HIV disease and progression, initiation of HAART and response to therapy is monitored by assessing in regular intervals, the T CD4+ cell counts and plasma HIV/RNA viral load. Resource poor, low and low - middle income group countries still have no finances to acquire infrastructure and scientific technology for performing such tests.

objectivesSince very few studies are available, they have demonstrated the role of alternate biomarkers that can be used to predict CD4 cell counts and thereby, monitor HIV disease progression and HAART. We aimed to measure certain haematological parameters in HIV seropositive patients and to evaluate their efficacy in predicting TCD4+ cell counts.

methodsThe study group included 250 HIV seropositive patients with an age range of 18-65 years. 140(56%) males and 110(44%) females were included in the study. Absolute TCD4+cell counts and CD8+T cell counts were measured by using a flow cytometer. (MMWR Recommendations and Reports, 1992) TLC; HB%, AEC and ESR were estimated by using conventional haematological methods. CRP was evaluated by latex agglutination test (Immuno CRP Latex Agglutination Test).

resultsAmong the tested haematological markers, a TLC of <1800 cells/mm(3) showed high specificity (100%) in predicting CD4 counts of < 200 cells/mm(3), with an accuracy of 61.46%. Haemoglobin and Absolute Eosinophilic counts showed high specificities of 84.09% and 94.32% respectively in predicting CD4 counts which were below 350 cells/mm(3). ESR with 98.98% sensitivity and AEC which had 83.67% sensitivity were able to predict CD4 counts of <200 cells/mm(3).

conclusionAmong the tested biomarkers, it was seen that Absolute Eosinophilic counts of more than 550 cells/mm(3), Blood Haemoglobin which was less than 10 g%, ESR which measured more than 20 mm, CRP values of >1.2 and TLC of <1800 cells/mm(3) could be helpful in predicting CD4 cell counts of < 350 and <200 cells/mm(3).

Indexed as

Alternate biomarkersHAARTHuman Immunodeficiency Virus (HIV)

Identifiers

PMID23998059
PMCPMC3749629
OpenAlexW2114580532

What OpenQuestion holds

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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.