Evidence map›Paper›PMID 37128194›Full record

ArticleJournal of traditional and complementary medicine2023

Acupuncture is associated with reduced dementia risk in patients with insomnia: A propensity-score-matched cohort study of real-world data.

Cheng-Hao Huang, Shun-Ku Lin, Mei-Chen Lin, Ching-Liang Hsieh

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Article in Journal of traditional and complementary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 2 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

4 authors at 2 institutions in 1 country.

Cheng-Hao HuangDepartment of Chinese Medicine, China Medical University Hospital, Taichung City, 40447, Taiwan.
Shun-Ku LinInstitute of Public Health, National Yang Ming Chiao Tung University, Taipei City, 112304, Taiwan.
Mei-Chen LinManagement Office for Health Data, China Medical University Hospital, Taichung, 40447, Taiwan.
Ching-Liang HsiehDepartment of Chinese Medicine, China Medical University Hospital, Taichung City, 40447, Taiwan.
China Medical University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Insomnia is a subjective illness that has been identified as a risk factor for dementia. In this study, we investigated the association of acupuncture treatment for insomnia with the risk of dementia. We collected data from the National Health Insurance Research Database (NHIRD) of Taiwan to analyze the incidence of dementia in patients with insomnia who received acupuncture treatment. Experimental procedure: This retrospective matched-cohort study included 152,585 patients, selected from the NHIRD, who were newly diagnosed with insomnia between 2000 and 2010. The follow-up period ranged from the index date to the date of dementia diagnosis, date of withdrawal from the insurance program, or December 31, 2013. A 1:1 propensity score method was used to match an equal number of patients ( Results and conclusion: Patients with insomnia who received acupuncture treatment were observed to have a lower risk of dementia (adjusted hazard ratio = 0.54, 95% confidence interval = 0.50-0.60) than those who did not undergo acupuncture treatment. The cumulative incidence of dementia was significantly lower in the acupuncture cohort than in the non-acupuncture cohort (log-rank test,

Indexed as

AcupunctureCohortDementiaInsomniaNational health insurance research database (NHIRD)Propensity score

Identifiers

PMID37128194
PMCPMC10148128
OpenAlexW4321366254

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.