Evidence map›Paper›PMID 35059290›Full record

ArticleIntegrative medicine research2022

Traditional Chinese medicine attenuates hospitalization and mortality risks in diabetic patients with carcinoma

Li-Jen Tsai, Chi-Hsiang Chung, Chien-Jung Lin, Sheng-Chiang Su, Feng-Chih Kuo, Jhih-Syuan Liu, Kuan-Chan Chen, Li-Ju Ho, Chih-Chun Kuo, Chun-Yung Chang and 9 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Integrative medicine research, 2022. 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
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

19 authors at 3 institutions in 1 country.

Li-Jen TsaiGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chi-Hsiang ChungSchool of Public Health, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chien-Jung LinDepartment of Chinese Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan (Province of China).
Sheng-Chiang SuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Feng-Chih KuoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Jhih-Syuan LiuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Kuan-Chan ChenDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Li-Ju HoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chih-Chun KuoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chun-Yung ChangDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Ming-Hsun LinDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Nain-Feng ChuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chien-Hsing LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chang-Hsun HsiehDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Yi-Jen HungDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Po-Shiuan HsiehDepartment of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan (Province of China).
Fu-Huang LinSchool of Public Health, National Defense Medical Center, Taipei, Taiwan (Province of China).
Chieh-Hua LuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan (Province of China).
Wu-Chien ChienSchool of Public Health, National Defense Medical Center, Taipei, Taiwan (Province of China).
Tri-Service General Hospital · TWNational Defense Medical Center · TWTaiwan Nurses Association · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic patients are at high risk of developing cancer. Traditional Chinese medicine (TCM) has become increasingly popular as an adjuvant treatment for patients with chronic diseases, and some studies have identified its beneficial effect in diabetic patients with cancer. The purpoes of this study was to outline the potential of TCM to attenuate hospitalization and mortality rates in diabetic patients with carcinoma

methodsA total of 6,987 diabetic subjects with CIS under TCM therapy were selected from the National Health Insurance Research Database of Taiwan, along with 38,800 of 1:1 sex-, age-, and index year-matched controls without TCM therapy. Cox proportional hazard analysis was conducted to compare hospitalization and mortality rates during an average of 15 years of follow-up.

resultsA total of 3,999/1,393 enrolled-subjects (28.62%/9.97%) had hospitalization/mortality, including 1,777/661 in the TCM group (25.43%/9.46%) and 2,222/732 in the control group (31.80%/10.48%). Cox proportional hazard regression analysis showed a lower rate of hospitalization and mortality for subjects in the TCM group (adjusted HR=0.536; 95% CI=0.367-0.780,

conclusionsDiabetic patients with CIS under TCM therapy were associated with lower hospitalization and mortality rates compared to those without TCM therapy. Thus, TCM application may reduce the burden of national medical resources.

Indexed as

carcinoma in situdiabetesmortalityNational Health Insurance Research DatabaseTraditional Chinese medicine

Identifiers

PMID35059290
PMCPMC8760454
OpenAlexW4200042344

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.