Evidence map›Paper›PMID 39247216›Full record

ArticleFrontiers in hematology2023

Development of the sickle Pan-African research consortium registry in Tanzania: opportunity to harness data science for sickle cell disease.

Daniel Kandonga, Raphael Zozimus Sangeda, Upendo Masamu, Eliah Kazumali, Agnes Jonathan, Michael Msangawale, Winfrida Kaihula, Julieth Rwegalulila, Jesca Ondego, Hilda J Tutuba and 13 more

Abstract read
In one paragraph

Article in Frontiers in hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

23 authors.

Daniel KandongaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Raphael Zozimus SangedaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Upendo MasamuSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Eliah KazumaliStatistics Department, Eastern Africa Statistical Training Centre, Dar es Salaam, Tanzania.
Agnes JonathanSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Michael MsangawaleSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Winfrida KaihulaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Julieth RwegalulilaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Jesca OndegoSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Hilda J TutubaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Joyce NdunguruSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Emmanuela E AmbroseDepartment of Paediatrics and Child Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Benson R KidenyaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Mbonea YonaziDepartment of Hematology and Blood Transfusion, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Irene KyomugishaDepartment of Pathology, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Wilson MupfururirwaDepartment of Pathology, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Mario JonasDepartment of Pathology, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Victoria NembawareDepartment of Pathology, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Gaston Kuzamunu MazanduDepartment of Pathology, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Andre Pascal KengneNon-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
Ambroise WonkamDepartment of Pathology, Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Julie MakaniSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Emmanuel BalandyaSickle Cell Programme, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.

Funding

The Sickle Pan-African Research Consortium (SPARCO)U24HL135881 · NHLBI · MUHIMBILI UNIVERSITY/ ALLIED HLTH SCIS · PI MAKANI, JULIE · 2017 to 2025
$5.3M
Sickle Pan-African Research Consortium (SPARCO)- TanzaniaU01HL156853 · NHLBI · MUHIMBILI UNIVERSITY/ ALLIED HLTH SCIS · PI BALANDYA, EMMANUEL · 2021 to 2025
$1.5M
NHLBI NIH HHS U01 HL156853NHLBI NIH HHS U24 HL135881
6 · The paper itself

Abstract

Background: Sickle cell disease (SCD) is a severe hereditary form of anemia that contributes between 50% and 80% of under-five mortality in Africa. Eleven thousand babies are born with SCD annually in Tanzania, ranking 4 Objective: This paper describes the Sickle Pan African Consortium (SPARCO) database in Tanzania, from the development, design of the study instruments, data collection, analysis of data and management of data quality issues. Methods: The SPARCO registry used existing Muhimbili Sickle Cell Cohort (MSC) study case report forms (CRF) and later harmonized data elements from the SickleInAfrica consortium to develop Research Electronic Data Capture (REDCap) instruments. Patients were enrolled through various strategies, including mass screening following media sensitization and health education events during World Sickle Cell Day each June and the SCD awareness month in September. Additional patients were identified through active surveillance of previously participating patients in the MSC. Results: Three thousand eight hundred patients were enrolled between October 2017 and May 2021. Of these, 1,946 (51.21%) were males and 1,864 (48.79%) were females. The hemoglobin phenotype distribution was 3,762 (99%) HbSS, 3 (0.08%) HbSC and 35 (0.92%) HbSb +thalassemia. Hemoglobin levels, admission history, blood transfusion and painful events were recorded from December 2017 to May 2021. Conclusion: The Tanzania SPARCO registry will improve healthcare for SCD in Africa through the facilitation of collaborative data-driven research for SCD.

Indexed as

case report formdata scienceREDCapregistrysickle cell diseaseTanzania

Identifiers

PMID39247216
PMCPMC11378979

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.