Evidence map›Paper›PMID 25264502›Full record

ArticleIn silico pharmacology2014

Characterizing plasma albumin concentration changes in TB/HIV patients on anti retroviral and anti -tuberculosis therapy.

Kuteesa R Bisaso, Joel S Owen, Francis W Ojara, Proscovia M Namuwenge, Apollo Mugisha, Lawrence Mbuagbaw, Livingstone S Luboobi, Jackson K Mukonzo

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in In silico pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  11. A lung image reconstruction from computed radiography images as a tool to tuberculosis treatment control.The journal of venomous animals and toxins including tropical diseases · 2019
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  15. rs1445776009 variants in the humanInternational journal of health sciences
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Kuteesa R BisasoDepartment of Pharmacology & Therapeutics, College of Health Sciences, Makerere University, Kampala, Uganda.
Joel S OwenSchool of pharmacy, Union University Tennessee, Tennessee, USA.
Francis W OjaraDepartment of Pharmacology & Therapeutics, College of Health Sciences, Makerere University, Kampala, Uganda.
Proscovia M NamuwengeCentre for Operational Research in Africa, P.O. Box 7072, Kampala, Uganda.
Apollo MugishaDepartment of Clinical Chemistry, Mulago National Referral Hospital, Kampala, Uganda.
Lawrence MbuagbawDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Ontario, Canada.
Livingstone S LuboobiDepartment of Mathematics, College of Natural Sciences, Makerere University, Kampala, Uganda.
Jackson K MukonzoDepartment of Pharmacology & Therapeutics, College of Health Sciences, Makerere University, Kampala, Uganda ; Centre for Operational Research in Africa, P.O. Box 7072, Kampala, Uganda ; CIHR Canadian HIV Trials Network, Vancouver, BC Canada.
Makerere University · UGMcMaster University · CAMulago Hospital · UGUnion University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePlasma albumin, a biomarker for hepatic function, is reported to correspondingly decrease in concentration as disease severity increases in chronic infections including HIV and TB. Our objective was to develop a semi-mechanistic disease progression model to quantify plasma albumin concentration changes during TB and HIV therapy and identify the associated covariate factors.

methodsPlasma albumin concentration data was collected at specified times for 3 months from 262 HIV participants receiving efavirenz based anti retroviral therapy. Of these, 158 were TB co-infected and on Rifampicin based anti -tuberculosis co-treatment. An indirect response model with zero order albumin production and first order elimination was developed in NONMEM version 7.2 to describe our data. Genotype (CYP2B6*6 and 11, CYP3A5, ABCB1c.3435C>T and ABCB1rs), TB disease status, baseline age, body weight, plasma creatinine, alanine transaminase enzyme and CD4(+) count were the potential model covariates tested.

resultsThe proposed model successfully described plasma albumin concentration changes in the study population. There was a 10.9% and 48.6% increase in albumin production rates in HIV only and TB co-infected participants respectively. Participants co-infected with TB showed a 44.2% lower baseline albumin secretion rate than those without TB while ABCB1c.3435C>T mutation was associated with a 16% higher steady state albumin secretion rate following treatment.

conclusionA semi-mechanistic model describes plasma albumin concentration changes in HIV patients on ART. Further work is required to establish the utility of the model in monitoring disease progression and predicting prognosis in HIV and TB co-infected patients in absence of or during treatment.

Indexed as

AlbuminAnti Retroviral therapyDisease progression modelingEfavirenzHIVMathematical modelNONMEMRifampicinSemi-mechanistic modelTuberculosis

Identifiers

PMID25264502
PMCPMC4173069
OpenAlexW2171183822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.