Evidence map›Paper›PMID 38762295›Full record

Observational studyThe Lancet. Global health2024

Predicting mortality within 1 year of ART initiation in children and adolescents living with HIV in sub-Saharan Africa: a retrospective observational cohort study.

Alexander Kay, Bhekumusa Lukhele, Sandile Dlamini, Abigail Seeger, Phumzile Dlamini, Sandile Ndabezitha, Nobuhle Mthethwa, Teresa Steffy, Lilian Komba, Pauline Amuge and 11 more

Abstract readObservational Study
In one paragraph

Observational study in The Lancet. Global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

21 authors.

Alexander KayBaylor College of Medicine, Houston, TX, USA; Baylor College of Medicine Children's Foundation-Eswatini, Mbabane, Eswatini. Electronic address: alexander.kay@bcm.edu.
Bhekumusa LukheleDepartment of Health Policy and Organization, University of Alabama at Birmingham, Birmingham, AL, USA.
Sandile DlaminiBaylor College of Medicine Children's Foundation-Eswatini, Mbabane, Eswatini.
Abigail SeegerBaylor College of Medicine, Houston, TX, USA.
Phumzile DlaminiBaylor College of Medicine Children's Foundation-Eswatini, Mbabane, Eswatini.
Sandile NdabezithaBaylor College of Medicine Children's Foundation-Eswatini, Mbabane, Eswatini.
Nobuhle MthethwaEswatini National AIDS Program, Mbabane, Eswatini.
Teresa SteffyBaylor College of Medicine, Houston, TX, USA; Baylor College of Medicine Children's Foundation-Lesotho, Maseru, Lesotho.
Lilian KombaBaylor College of Medicine Children's Foundation-Tanzania, Mbeya and Mwanza, Tanzania.
Pauline AmugeBaylor College of Medicine Children's Foundation-Uganda, Kampala, Uganda.
Eunice KetangenyiBaylor College of Medicine Children's Foundation-Tanzania, Mbeya and Mwanza, Tanzania.
Peter ElyanuBaylor College of Medicine Children's Foundation-Uganda, Kampala, Uganda.
Adamson MunthaliBaylor College of Medicine Children's Foundation-Malawi, Lilongwe, Malawi.
Amos MsekandianaBaylor College of Medicine Children's Foundation-Malawi, Lilongwe, Malawi.
Yvonne MaldonadoDepartment of Pediatrics, Stanford University, Stanford, CA, USA.
Elizabeth ChiaoMD Anderson Cancer Center, Houston, TX, USA.
Adeodata KekitiinwaBaylor College of Medicine, Houston, TX, USA; Baylor College of Medicine Children's Foundation-Uganda, Kampala, Uganda.
Lineo ThahaneBaylor College of Medicine, Houston, TX, USA; Baylor College of Medicine Children's Foundation-Lesotho, Maseru, Lesotho.
Lumumba MwitaBaylor College of Medicine, Houston, TX, USA; Baylor College of Medicine Children's Foundation-Tanzania, Mbeya and Mwanza, Tanzania.
H Lester KirchnerBaylor College of Medicine, Houston, TX, USA; Department of Population Health Sciences, Geisinger Health, Danville, VA, USA.
Anna Maria MandalakasBaylor College of Medicine, Houston, TX, USA; Research Center Borstel, Sülfeld, Germany.

Funding

Siyakhula: Growing HIV/TB Research Knowledge for Growing Healthy Kids in EswatiniD43TW011547 · FIC · BAYLOR COLLEGE OF MEDICINE · PI MANDALAKAS, ANNA M · 2021 to 2025
$1.7M
Developing Clinical Prediction Tools to Define Strategies for Differentiated Service Delivery in Children and Adolescents Living with HIV in sub-Saharan Africa.K01TW011482 · FIC · BAYLOR COLLEGE OF MEDICINE · PI KAY, ALEXANDER WILLIAM · 2020 to 2024
$749k
FIC NIH HHS D43 TW011547FIC NIH HHS K01 TW011482
6 · The paper itself

Abstract

backgroundDifferentiated service delivery (DSD) for children and adolescents living with HIV can improve targeted resource use. We derived a mortality prediction score to guide clinical decision making for children and adolescents living with HIV.

methodsData for this retrospective observational cohort study were evaluated for all children and adolescents living with HIV and initiating antiretroviral therapy (ART); aged 0-19 years; and enrolled at Baylor clinics in Eswatini, Malawi, Lesotho, Tanzania, and Uganda between 2005 and 2020. Data for clinical prediction, including anthropometric values, physical examination, ART, WHO stage, and laboratory tests were captured at ART initiation. Backward stepwise variable selection and logistic regression were performed to develop predictive models for mortality within 1 year of ART initiation. Probabilities of mortality were generated, compared with true outcomes, internally validated, and evaluated against WHO advanced HIV criteria.

findingsThe study population included 16 958 children and adolescents living with HIV and initiated on ART between May 18, 2005, and Dec 18, 2020. Predictive variables for the most accurate model included: age, CD4 percentage, white blood cell count, haemoglobin concentration, platelet count, and BMI Z score as continuous variables, and WHO clinical stage and oedema, abnormal muscle tone and respiratory distress on examination as categorical variables. The area under the curve (AUC) of the predictive model was 0·851 (95% CI 0·839-0·863) in the training set and 0·822 (0·800-0·845) in the test set, compared with 0·606 (0·595-0·617) for the WHO advanced HIV criteria (p<0·0001).

interpretationThis study evaluated a large, multinational population to derive a mortality prediction tool for children and adolescents living with HIV. The model more accurately predicted clinical outcomes than the WHO advanced HIV criteria and has the potential to improve DSD for children and adolescents living with HIV in high-burden settings.

fundingNational Institute of Health Fogarty International Center.

Indexed as

HIV InfectionsAdolescentAfrica South of the SaharaAnti-HIV AgentsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesYoung AdultAnti-HIV Agents

Identifiers

PMID38762295
PMCPMC11149103

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.