Evidence map›Paper›PMID 30185204›Full record

ArticleBMC medicine2018

Progress toward eliminating TB and HIV deaths in Brazil, 2001-2015: a spatial assessment.

Jennifer M Ross, Nathaniel J Henry, Laura A Dwyer-Lindgren, Andrea de Paula Lobo, Fatima Marinho de Souza, Molly H Biehl, Sarah E Ray, Robert C Reiner, Rebecca W Stubbs, Kirsten E Wiens and 6 more

Open access · goldAbstract readHistorical Article
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Finding gaps in routine TB surveillance activities in Bangladesh.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
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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

16 authors at 4 institutions in 2 countries.

Jennifer M RossDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, Washington, USA.
Nathaniel J HenryInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Laura A Dwyer-LindgrenInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Andrea de Paula LoboDepartment of Public Health, University of Brasilia, Distrito Federal, Brazil.
Fatima Marinho de SouzaDepartment of Health Surveillance, Ministry of Health, Brasilia, Brazil.
Molly H BiehlInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Sarah E RayInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Robert C ReinerInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Rebecca W StubbsInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Kirsten E WiensInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Lucas EarlInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Michael J KutzInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Natalia V BhattacharjeeInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Hmwe H KyuInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA.
Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave Suite 600, Seattle, WA, 98121, USA. sihay@uw.edu.
Institute for Health Metrics and Evaluation · USUniversity of Washington · USMinistério da Saúde · BRUniversidade de Brasília · BR

Funding

Bill and Melinda Gates Foundation OPP1132415
6 · The paper itself

Abstract

backgroundBrazil has high burdens of tuberculosis (TB) and HIV, as previously estimated for the 26 states and the Federal District, as well as high levels of inequality in social and health indicators. We improved the geographic detail of burden estimation by modelling deaths due to TB and HIV and TB case fatality ratios for the more than 5400 municipalities in Brazil.

methodsThis ecological study used vital registration data from the national mortality information system and TB case notifications from the national communicable disease notification system from 2001 to 2015. Mortality due to TB and HIV was modelled separately by cause and sex using a Bayesian spatially explicit mixed effects regression model. TB incidence was modelled using the same approach. Results were calibrated to the Global Burden of Disease Study 2016. Case fatality ratios were calculated for TB.

resultsThere was substantial inequality in TB and HIV mortality rates within the nation and within states. National-level TB mortality in people without HIV infection declined by nearly 50% during 2001 to 2015, but HIV mortality declined by just over 20% for males and 10% for females. TB and HIV mortality rates for municipalities in the 90th percentile nationally were more than three times rates in the 10th percentile, with nearly 70% of the worst-performing municipalities for male TB mortality and more than 75% for female mortality in 2001 also in the worst decile in 2015. The same municipality ranking metric for HIV was observed to be between 55% and 61%. Within states, the TB mortality rate ratios by sex for municipalities in the worst decile versus the best decile varied from 1.4 to 2.9, and HIV varied from 1.4 to 4.2. The World Health Organization target case fatality rate for TB of less than 10% was achieved in 9.6% of municipalities for males versus 38.4% for females in 2001 and improved to 38.4% and 56.6% of municipalities for males versus females, respectively, by 2014.

conclusionsMortality rates in municipalities within the same state exhibited nearly as much relative variation as within the nation as a whole. Monitoring the mortality burden at this level of geographic detail is critical for guiding precision public health responses.

Indexed as

BrazilFemaleHistory, 21st CenturyHIV InfectionsHumansMaleTuberculosisBrazilCase fatalityGeographicGeospatialHIVMortalitySmall area estimationTuberculosis

Identifiers

PMID30185204
PMCPMC6125942
OpenAlexW2885774649

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.