Evidence map›Paper›PMID 40705788›Full record

ArticlePLOS global public health2025

Mortality from sickle cell disease in Brazil.

Paula Fraiman Blatyta Caselli, Claudia Di Lorenzo Oliveira, Isabel Gomes, Tassila Salomon, Ester Cerdeira Sabino, Ligia Capuani, Dahra Teles Cruz, Claudia Maximo, Miriam Veronica Flor-Park, Rosimere Afonso Mota and 6 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Paula Fraiman Blatyta CaselliFaculdade Israelita de Ciências da Saúde Albert Einstein (FICSAE), São Paulo, Brazil.ORCID https://orcid.org/0000-0002-2026-9811
Claudia Di Lorenzo OliveiraUniversidade Federal de São João Del Rei, São João del Rei, Minas Gerais, Brazil.
Isabel GomesUniversidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-5549-3426
Tassila SalomonFaculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Ester Cerdeira SabinoFaculdade de Medicina da Universidade de São Paulo, Instituto de Medicina Tropical, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-2623-5126
Ligia CapuaniFaculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Dahra Teles CruzHemope, Recife, PE, Brazil.
Claudia MaximoHemorio, Rio de Janeiro, Rio de Janeiro, Brazil.
Miriam Veronica Flor-ParkInstituto da Criança-Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Rosimere Afonso MotaHemocentro Regional de Montes Claros, Fundação Hemominas, Minas Gerais, Brazil.
Daniela de Oliveira Werneck RodriguesHemocentro Regional de Montes Claros, Fundação Hemominas, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0003-3062-2954
Carla Luana DinardoFundação Pró-Sangue Hemocentro de São Paulo and Instituto de Medicina Tropical da Faculdade de Medicina da USP, São Paulo, Brazil.
Cesar de Almeida NetoFundação Pró-Sangue Hemocentro de São Paulo and Instituto de Medicina Tropical da Faculdade de Medicina da USP, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-8490-4634
Brian CusterVitalant Research Institute, San Francisco, California, United States of America.
Shannon KellyVitalant Research Institute, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0003-2049-3992
Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) International Component Brazil

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite early diagnosis through neonatal screening and improved access to vaccines, antibiotics, and disease-modifying therapies, many individuals with sickle cell disease (SCD) die before age 60. This study evaluated causes and independent predictors of mortality in a Brazilian SCD population using data from the multicenter REDS-III cohort [2013-2018], which included six centers. Eligible patients were randomly enrolled during routine visits. Clinical and laboratory data were abstracted from medical records, and deaths were confirmed via chart review and linkage to the national death certificate database. Key variables were compared between deceased and surviving adults using Chi-square and Mann-Whitney tests. A multivariable Cox regression model identified independent predictors of mortality. Children were excluded from regression analysis due to low pediatric mortality. Among 2,793 participants, 1,558 (55.8%) were under 18. By the end of follow-up, 159 (5.7%) had died-142 adults and 17 children. Median life expectancy was 65.7 years. Infection was the leading cause of death (33.3%), followed by non-infectious pulmonary conditions (25.2%) and neurologic disease (14.5%). Cause of death was unknown in 3.1% of cases. In adults, independent predictors of mortality were older age [HR 1.03; 95% CI 1.01-1.04], iron overload [HR 1.68; 95% CI 1.09-2.60], and prior hospital admissions [HR 1.68; 95% CI 1.10-2.56]. The mortality burden in SCD is shifting toward adults, particularly in the third and fourth decades of life. Individuals with SCD in Brazil die about 10 years earlier than the general population. The main causes of death in our cohort were infections, acute chest syndrome and stroke, highlighting the need for prompt recognition and treatment of these complications. Screening and treatment for iron overload and closer monitoring and consideration of disease modifying therapies for patients with frequent hospital admissions are important as both were identified as independent predictors of mortality.

Identifiers

PMID40705788
PMCPMC12289050

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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.