Evidence map›Paper›PMID 42226414›Full record

ArticleEpidemiology and health2026

Excess mortality from gastric cancer in Korea during the COVID-19 pandemic, 2020-2023.

Gyeongil Kim, Ji-Yeon Shin, Yu-Mi Lee, Duk-Hee Lee

Abstract read
In one paragraph

Article in Epidemiology and health, 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

4 authors.

Gyeongil KimDepartment of Epidemiology and Health Promotion, Graduate School of Public Health, Kyungpook National University, Daegu, Korea.
Ji-Yeon ShinDepartment of Preventive Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Yu-Mi LeeDepartment of Preventive Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Duk-Hee LeeDepartment of Preventive Medicine, Kyungpook National University School of Medicine, Daegu, Korea. lee_dh@knu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic substantially disrupted cancer care, leading to declines in screening, diagnosis, and treatment. Gastric cancer is particularly vulnerable to such disruptions because reductions in mortality depend largely on early detection and timely treatment. This study estimated excess mortality from gastric cancer in Korea during the COVID-19 pandemic. Expected gastric cancer deaths during the pandemic were estimated by applying linear regression to age-specific mortality trends from 2015 to 2019. Excess mortality was quantified using annual P-scores. Gastric cancer mortality declined steadily before the pandemic, but this decline attenuated during the pandemic period. Annual P-scores increased progressively, from +3.8% in 2020 and +5.5% in 2021 to +10.6% in 2022 and +20.7% in 2023. By age group, individuals aged 60-79 years showed the largest increases, reaching +46.6% in 2023, whereas minimal excess mortality was observed among those aged 20-59 years. Among adults aged ≥80 years, excess mortality became apparent only in 2023 (+12.8%). Overall, a progressive increase in excess mortality due to gastric cancer was observed in Korea during the COVID-19 pandemic, particularly among individuals aged 60-79 years. These findings suggest that the pandemic adversely affected gastric cancer control and underscore the need for continued monitoring.

Indexed as

COVID-19PandemicsStomach NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRepublic of KoreaYoung AdultCOVID-19Excess mortalityGastric cancerScreeningSurvival

Identifiers

PMID42226414
PMCPMC13503058

What Socratic holds

Textmetadata
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 Socratic graph.