Evidence map›Paper›PMID 40082828›Full record

Observational studyBMC cancer2025

Trends in breast cancer mortality in Peru and its geographical areas from 2013 to 2022 and prediction until 2027.

Melanie Kiara Terrel-Poccomo, Grecia Santillán-Romero, Carlos Quispe-Vicuña, Jorge Ybaseta-Medina, J Smith Torres-Roman

Abstract readObservational Study
In one paragraph

Observational study in BMC cancer, 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. Observational
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

5 authors.

Melanie Kiara Terrel-PoccomoCancer Research Networking, Universidad Cientifica del Sur, Lima, Peru.
Grecia Santillán-RomeroCancer Research Networking, Universidad Cientifica del Sur, Lima, Peru.
Carlos Quispe-VicuñaLatin American Network for Cancer Research (LAN-CANCER), Lima, Peru.
Jorge Ybaseta-MedinaUniversidad Nacional San Luis Gonzaga de Ica, Ica, Peru.
J Smith Torres-RomanCancer Research Networking, Universidad Cientifica del Sur, Lima, Peru. jstorresroman@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2022, breast cancer was one of the most commonly diagnosed neoplasms and the leading cause of cancer death among women worldwide. In Peru, reports on mortality due to this neoplasm are scarce, especially after implementing strategies to reduce its impact. This study aimed to estimate mortality rates for breast cancer in Peru and its geographic regions from 2013 to 2022 and to project its evolution to 2027.

methodsAn observational ecological study of multiple time series was conducted. Data were obtained from the Ministry of Health's death database via SINADEF. Mortality rates per 100,000 women were calculated using the direct method and Segi's world standard population. Mortality trends were analyzed using the Annual Percent Change (APC) calculated with Joinpoint regression software. Predictions for 2027 were also made using the Nordpred package in R Studio.

resultsIn 2013, the departments with the highest breast cancer mortality rates in Peru were Ica, Callao, Lambayeque and La Libertad. In 2022, Ancash and Tumbes were added, with Tumbes having the highest rates. For women under 50, Lambayeque and Madre de Dios led in 2013, while for women over 50, Tumbes had the highest mortality rate in 2022. Peru reported a significant increase of 3.97% on an annual basis for the entire period. According to regions, Rainforest region (APC = + 8.37) and the Rainforest region (APC = + 11.55) showed significant increases in mortality rates, while no significant changes were observed in the Coastal region. Moreover, an increase in breast cancer mortality in Peru is projected for the year 2027.

conclusionBreast cancer mortality in Peru has shown a constant increase, with significant regional disparities. The highest rates were recorded in the coastal region, although the Andean and jungle regions experienced the most pronounced increases. These disparities may be attributed to data underreporting during the COVID-19 pandemic and unequal access to diagnostic and treatment services. The findings highlight the urgent need for focused public health interventions to reduce these regional gaps and improve breast cancer management outcomes.

Indexed as

Breast NeoplasmsAdultAgedFemaleHumansMiddle AgedMortalityPeru

Identifiers

PMID40082828
PMCPMC11908065

What OpenQuestion holds

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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.