Evidence map›Paper›PMID 40226848›Full record

ArticleInternational journal of public health2025

The Impact of the COVID-19 Pandemic on Mortality Rates From Non-Communicable Chronic Diseases in Taiwan: An Interventional Time Series Study.

Chen-Mao Liao, Yi-Wei Kao, Chih-Ming Lin, Pei-Yu Lai

Abstract read
In one paragraph

Article in International journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Chen-Mao LiaoDepartment of Applied Statistics and Information Science, Ming Chuan University, Taoyuan, Taiwan.
Yi-Wei KaoDepartment of Applied Statistics and Information Science, Ming Chuan University, Taoyuan, Taiwan.
Chih-Ming LinDepartment of Applied Statistics and Information Science, Ming Chuan University, Taoyuan, Taiwan.
Pei-Yu LaiDepartment of Applied Statistics and Information Science, Ming Chuan University, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To examine whether the likelihood of death from non-communicable diseases nationwide was heightened during the COVID-19 pandemic. Methods: Data on mortality caused by seven leading non-communicable chronic diseases from 2011 to 2022 were extracted from Taiwan's Death Registry. Monthly standardized mortality rates were analyzed using an intervention time series model. Results: The monthly mortality rate showed a significant upward trend during the pandemic in the rate of mortality due to heart diseases, diabetes, and hypertension diseases (p < 0.001). The 2021 monthly rates of mortality caused by the three diseases showed a significant increase of 4.3%, 8.2%, and 13.4%, respectively, compared to the 2020 rates and continued until the end of the study period. No upward or downward post-intervention shift was observed for malignant tumors, renal disease, and liver diseases. Conclusion: Adverse individual behaviors and reduced health services might have raised severe concerns for patients with cardiovascular diseases and diabetes. Health promotion and medical resource allocation are crucial for patients with disadvantaged health and sociodemographic factors and related metabolic conditions during the pandemic.

Indexed as

COVID-19Noncommunicable DiseasesChronic DiseaseDiabetes MellitusFemaleHumansMaleMiddle AgedPandemicsRegistriesSARS-CoV-2TaiwanCOVID-19healthcare accessmortalitynon-communicable diseasetime series analysis

Identifiers

PMID40226848
PMCPMC11985332

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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.