Evidence map›Paper›PMID 36321114›Full record

ArticleAfrican health sciences2022

Longitudinal patients' cohorts for impactful research and HIV care at the Infectious Diseases Institute.

Barbara Castelnuovo, Moses Kamya, Rosalind Parkes Ratanshi, Agnes N Kiragga, Damalie Nakanjako

Abstract read
In one paragraph

Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Barbara CastelnuovoInfectious Diseases Institute, College of Health Science, Makerere University.
Moses KamyaCollege of Health Science, Makerere University.
Rosalind Parkes RatanshiInfectious Diseases Institute, College of Health Science, Makerere University.
Agnes N KiraggaInfectious Diseases Institute, College of Health Science, Makerere University.
Damalie NakanjakoCollege of Health Science, Makerere University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Observational studies provide important evidence supporting the feasibility and effectiveness of health interventions. The 20-year-old Infectious Diseases Institute (IDI) established to respond to infectious diseases, specifically HIV/AIDS, invested in the set-up of longitudinal cohorts. In this paper we discuss the results of these cohorts and their impact on the response to the HIV pandemic in Uganda. Methods: IDI invested in experienced system developers, clinic and laboratory capacity to create the infrastructure to host longitudinal cohorts. Several cohorts were created, including patients initiated and followed up on ART, specialized cohorts (e.g. TB co-infection) and long-term cohorts with patients on ART for over 10 years and aged 60 and above. These cohorts function as platforms for sub-studies, attracting collaborators and students. Results: Data from the IDI cohorts contributed evidence to ART programs on when to start, which drugs to use, how to best monitor and which models of care to implement. Sub-studies contributed to management of opportunistic infections, understanding immunological response and the emerging complications of non-communicable diseases. Conclusion: Cohorts provide a platform for clinical care, training, and research to inform strategic responses and put Makerere University at the center of the response to the HIV pandemic in the region.

Indexed as

Acquired Immunodeficiency SyndromeCoinfectionCommunicable DiseasesHIV InfectionsAdultAmbulatory Care FacilitiesHumansUgandaYoung AdultHIVLongitudinal CohortsUganda

Identifiers

PMID36321114
PMCPMC9590324

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.