Evidence map›Paper›PMID 42272798›Full record

ArticleJournal of applied statistics2026

Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection.

Musie Ghebremichael

Abstract read
In one paragraph

Article in Journal of applied statistics, 2026. 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
–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

0 citing papers in PubMed.

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

1 author.

Musie GhebremichaelHarvard Medical School, MGH Biostatistics & Ragon Institute of MGH, MIT & Harvard, Cambridge, MA, USA.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
NIAID NIH HHS P30 AI060354
6 · The paper itself

Abstract

In this paper, the receiver operating characteristic (ROC) curve was used to investigate the performance of longitudinal CD4+ T cell counts as a biomarker of disease recovery in HIV-TB co-infected children from sub-Saharan Africa. According to the standard of care for monitoring pediatric HIV infection, routine assessment of immunologic/virologic markers is required. However, due to the lack of well-equipped laboratories and trained personnel, monitoring these markers as regularly as recommended is not feasible in sub-Saharan Africa. Thus, in the absence of routine laboratory monitoring, methods enabling the prediction of patient outcomes from existing CD4+ T-cell data provide a cost-effective alternative to routine monitoring in the region. Simulation studies were carried out to evaluate the performance of the TB-specific ROC model. We found that post-treatment longitudinal CD4+ T cell count had a 79% (95% CI: 0.72-0.86) probability of correctly distinguishing a recovered from non-recovered TB patient compared to a probability of 70% (95% CI: 0.59-0.82) in TB negative patients. Our findings demonstrate that longitudinal CD4+ T-cell counts are reliable indicators of pediatric immune recovery and provide a cost-effective alternative for predicting patient outcomes in the absence of routine laboratory monitoring, particularly HIV RNA determination.

Indexed as

HIVlongitudinalROC curvesimulationT cell lymphocytestuberculosis

Identifiers

PMID42272798
PMCPMC13248490

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.