Evidence map›Paper›PMID 42306075›Full record

ArticleLancet regional health. Americas2026

Breast cancer mortality in Argentina, 1991-2023: a nationwide ecological study of spatiotemporal patterns and regional inequalities.

Figueroa Marcelo Isidro, Andrade Lautaro Daniel, Llera Andrea, Alfaro Emma, Dopazo Hernán, Fachini Ana Sol, Dipierri José Edgardo

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Figueroa Marcelo IsidroPrograma de Referencia y Biobanco Genómico de la República Argentina, PoblAR, Chubut, Argentina.
Andrade Lautaro DanielInstituto de Ecorregiones Andinas (INECOA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Jujuy (UNJu), San Salvador de Jujuy, Jujuy, Argentina.
Llera AndreaPrograma de Referencia y Biobanco Genómico de la República Argentina, PoblAR, Chubut, Argentina.
Alfaro EmmaPrograma de Referencia y Biobanco Genómico de la República Argentina, PoblAR, Chubut, Argentina.
Dopazo HernánPrograma de Referencia y Biobanco Genómico de la República Argentina, PoblAR, Chubut, Argentina.
Fachini Ana SolUnidad de Conocimiento Traslacional Hospitalaria - CONICET- Hospital Público Materno Infantil de Salta, Salta, Argentina.
Dipierri José EdgardoPrograma de Referencia y Biobanco Genómico de la República Argentina, PoblAR, Chubut, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer mortality is geographically heterogeneous in Argentina, but long-term spatiotemporal evidence by age group is limited. We described temporal trends and spatial clustering of breast cancer mortality in Argentina from 1991 to 2023 by region and age. Methods: We conducted a longitudinal ecological study using death certificates with breast cancer as the underlying cause. Crude rates and age-standardised mortality rates (ASMR) per 100,000 women were estimated overall and truncated for <45 and ≥45 years using the WHO 2000-2025 world standard population. Spatial analyses were performed at department level for 1991-2017 using global and local Moran's Index, with queen contiguity weights and 999 permutations. Temporal trends were assessed with Joinpoint regression. Findings: Nationally, 165,251 deaths were recorded (crude rate 25·87 per 100,000 [95% Confidence Interval CI: 25·75-25·99]; ASMR 21·23 [95% CI: 21·12-21·34]). Truncated ASMR were 3·14 [95% CI: 3·09-3·19] for women <45 years and 67·98 [95% CI: 67·63-68·33] for women ≥45 years. Cuyo and Center showed higher ASMR (23·62 [95% CI: 23·19-24·05] and 22·07 [95% CI: 21·94-22·20], respectively) while Northwest had the lowest (16·58 [95% CI: 16·28-16·88]). ASMR declined in Argentina and most regions. Among women aged ≥45 years, declining patterns were observed in most regions, whereas among women aged <45 years trajectories were low and unstable, without sustained declines, and recent increases were identified in Northeast and Northwest. Spatial autocorrelation was pronounced for total ASMR and ≥45 years and weaker for <45 years (Moran's I 0·553, 0·550 and 0·133, respectively). High-high clusters concentrated in the Pampas corridor, whereas low-low clusters predominated in Northwest, parts of Northeast, and Patagonia. Interpretation: Breast cancer mortality in Argentina displays persistent territorial inequalities. Declining patterns were consistent among women aged 45 years and older, whereas heterogeneous and locally increasing patterns among women younger than 45 years, especially in northern regions, support prioritised subnational surveillance and further age-specific research. Funding: This study received no specific funding.

Indexed as

Age-standardised mortality rateArgentinaAutocorrelationBreast cancer mortalityGeographicalInequalitiesJoinpoint regressionSpatialSpatiotemporal analysis

Identifiers

PMID42306075
PMCPMC13266182

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LicenceCC BY-NC
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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.