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Evolution des paramètres biochimiques et hématologiques chez les personnes vivant avec le VIH SIDA sous traitement antirétroviral au Centre Médical du Camp General Aboubacar Sangoule Lamizana (CMCGASL)

2018· article· fr· W2792351878 on OpenAlexaff
Raoul Karfo, Elie Kabré, Laetitia Liz Coulibaly, G.N. Diatto, Jean Sakandé, Lassana Sangaré

Bibliographic record

VenuePan African Medical Journal · 2018
Typearticle
Languagefr
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsMedicineGynecologyHuman immunodeficiency virus (HIV)Antiretroviral therapyViral loadVirology

Abstract

fetched live from OpenAlex

INTRODUCTION: This study aimed to evaluate the impact of treatment on biochemical and hematological parameters in HIV-positive patients followed up at the Aboubacar Sangoulé Lamizana General Camp Medical Center in Burkina Faso. METHODS: We conducted a retrospective study over the period January 2010-September 2015. The study only included HIV-positive patients treated with ART having undergone laboratory tests at treatment initiation (M0), at sixth month (M6), and at twelfth month (M12). RESULTS: at M12 (p<0.05). Anaemic patients showed a significant increase in the rate of mean haemoglobin levels from 10.5 g/dl at M0 to 12.53 g/dl at M12 (p<0.05). The analysis of biochemical parameters could not be performed because of a lack of data. CONCLUSION: The increase in the rate of TCD4 lymphocytes and in the rate of hemoglobin levels gives an indication of ART effectiveness and of patient's tolerance to treatment. Viral load test accessibility and an improvement in laboratory testing monitoring are essential.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.293
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2018
Admission routes1
Has abstractyes

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