Evidence map›Paper›PMID 41538678›Full record

ArticleRevista de saude publica2026

Developing strategies and quality control in the Ageing and Brain Working Study in ELSA-Brasil.

Alessandra Vanessa Lopes Quidim, Raphael Beuttler, Helena Mendes Eloi, Maria Concepción García Otaduy, José Gilvam Araújo Lima Júnior, Murillo Mariotto Teixeira, Carlos Eduardo de Lima Moraes Dardis, Khallil Taverna Chaim, Adriana Bastos Conforto, Claudia da Costa Leite and 7 more

Abstract read
In one paragraph

Article in Revista de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Alessandra Vanessa Lopes QuidimUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-1783-6993
Raphael BeuttlerUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0004-4396-6136
Helena Mendes EloiUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-3126-4431
Maria Concepción García OtaduyUniversidade de São Paulo. Hospital das Clínicas da Faculdade de Medicina. Instituto e Departamento de Radiologia, Laboratório de Investigação Médica em Radiologia 44. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-2515-1131
José Gilvam Araújo Lima JúniorUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-2266-1729
Murillo Mariotto TeixeiraUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0008-2628-5485
Carlos Eduardo de Lima Moraes DardisUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0005-3805-6012
Khallil Taverna ChaimUniversidade de São Paulo. Hospital das Clínicas da Faculdade de Medicina. Instituto e Departamento de Radiologia, Laboratório de Investigação Médica em Radiologia 44. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-5803-0099
Adriana Bastos ConfortoUniversidade de São Paulo. Hospital das Clínicas da Faculdade de Medicina. Instituto e Departamento de Radiologia, Laboratório de Investigação Médica em Radiologia 44. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0001-7869-3490
Claudia da Costa LeiteUniversidade de São Paulo. Hospital das Clínicas da Faculdade de Medicina. Instituto e Departamento de Radiologia, Laboratório de Investigação Médica em Radiologia 44. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-1168-0780
Carolina de Medeiros RimkusUniversidade de São Paulo. Hospital das Clínicas da Faculdade de Medicina. Instituto e Departamento de Radiologia, Laboratório de Investigação Médica em Radiologia 44. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-3866-1299
Claudia Kimie SuemotoUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-5942-4778
Angelita Gomes SouzaUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-1933-2243
Itamar Souza SantosUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-3212-8466
Paulo Andrade LotufoUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-4856-8450
Isabela Judith Martins BenseñorUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-6723-5678
Alessandra Carvalho GoulartUniversidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-1076-5210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe all stages of developing strategies and quality control in the Aging and Brain Working Study linked to the Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil - Brazilian Longitudinal Study of Adult Health), a prospective cohort of 15,105 civil servants (aged 35-74) followed up since 2008.

methodsBased on the sample of participants alive at the beginning of the sample selection in September 2022 (n = 4,566) from ELSA-Brasil (Centro Investigação São Paulo), a representative sample of 2,165 individuals was calculated according to the following criteria and divided into two subsamples: (1) Sample of participants < 70 years old in Wave 3 (2017-2019) randomized according to cognitive trajectory from Wave 1 to 3, n = 1,670; (2) SuperAgers case-control sample, individuals aged ≥ 70 years in Wave 3, based on episodic memory in Wave 3, n = 495 participants (171 cases, 324 controls). The processes implemented to ensure quality control of information prior to data collection were selection of data collection instruments, training and certification of teams, preparation of a manual of definitions and standardized operating procedures, pilot studies, data collection logistics, harmonization of imaging protocols, and creation of an anti-noise device. Given the scope of the study, its multicenter nature, and the diversity of measures involved, this project required the implementation of effective quality assurance and control protocols, ensuring standardization, methodological consistency, and data integrity at all stages.

resultsAfter implementing the quality assurance and control processes, the final stages related to clinical and imaging data collection, management, and continuous monitoring of field activities were conducted, with weekly reports and statistical monitoring of the sample.

conclusionsThe adoption of systematic stages of development and quality control was fundamental to ensure the production and reliability of information from brain neuroimaging studies.

Indexed as

AgingBrainQuality ControlAdultAgedBrazilCase-Control StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective Studies

Identifiers

PMID41538678
PMCPMC12795433

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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.