Evidence map›Paper›PMID 23304199›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2012

An investigation of the use of traditional chinese medicine in stroke patients in taiwan.

Chien-Chang Liao, Jaung-Geng Lin, Chin-Chuan Tsai, Hsin-Long Lane, Ta-Chen Su, Hwang-Huei Wang, Fung-Chang Sung, Ta-Liang Chen, Chun-Chuan Shih

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PubMed Full text at PMC Publisher
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
11.3field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Chien-Chang LiaoDepartment of Anesthesiology, Taipei Medical University Hospital, Taipei 110, Taiwan ; Management Office for Health Data, China Medical University Hospital, Taichung 404, Taiwan.
Jaung-Geng Lin
Chin-Chuan Tsai
Hsin-Long Lane
Ta-Chen Su
Hwang-Huei Wang
Fung-Chang Sung
Ta-Liang Chen
Chun-Chuan Shih
I-Shou University · TWChina Medical University · TWChina Medical University Hospital · TWNational Taiwan University Hospital · TWTaipei Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. The use of complementary and alternative medicine in critical illness is increasing worldwide. This study investigates how traditional Chinese medicine (TCM) is used in stroke patients. Methods. Using Taiwan National Health Insurance reimbursement claims, we compared the annual use of TCM between stroke patients and general population, identifying 15,330 patients with a new onset of stroke in 2000-2009. The sociodemographic status and medical comorbidities between stroke patients receiving TCM services and those without using the service were compared. Results. The use of TCM was higher in stroke patients than in the general population, 27.9% versus 25.4% in 2000 and 32.7% versus 27.8% in 2009, respectively, and grew consistently from 2000 to 2009. Among stroke patients, women, younger patients, white-collar employees, higher-income residents, and those living in areas with more TCM physicians were more likely to use TCM. Stroke patients using rehabilitation services were more likely to have more TCM visits (OR = 2.28, 95% CI = 1.96-2.66) and higher expenditure on TCM (OR = 2.67, 95% CI = 2.29-3.12) compared with stroke patients without rehabilitation. Conclusion. TCM is popular and well accepted in Taiwan. Patients with stroke have a higher TCM utilization rate than people without stroke.

Identifiers

PMID23304199
PMCPMC3530233
OpenAlexW2063911277

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.