Evidence map›Paper›PMID 40298359›Full record

ArticleHolistic nursing practice

Observation of the Clinical Effect of Auricular Acupressure in the Treatment of Insomnia: A SingleCenter, Single-Arm, Prospective Study.

Junrui Ma, Jiao Zhang, Lirong Xia, Zhanqiong Li, Jialan Wang, Hushan Zhang

Abstract read
In one paragraph

Article in Holistic nursing practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Junrui MaAuthor Affiliations: Department of Nursing, Yunnan University of Traditional Chinese Medicine, Kunming, China (Ms Ma); Laboratory for the Research of Characteristic Traditional Chinese Medicines in Northeast Yunnan, Department of Pharmacology, Zhaotong Health Vocational College, Zhaotong, China (Miss Zhang and Zhang); Department of Nursing, The First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, China (Ms Xia); and Department of Nursing, Dali University, Dali, China (Ms Li).
Jiao Zhang
Lirong Xia
Zhanqiong Li
Jialan Wang
Hushan Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insomnia leading to an inadequate fulfillment of the body's physiological sleep requirements in terms of both quality and duration. A single-arm clinical trial was employed. N = 84 and were given auricular acupressure treatment, 10 times as a course of treatment. The Pittsburgh Sleep Quality Index (PSQI), TCM Syndrome Score Scale, Insomnia Severity Index Scale, Flinders Fatigue Scale, Health Status Questionnaire, Patient Satisfaction Score and Auricular Temperature Change were filled in at the time of enrollment and after treatment, and the adverse reactions were recorded to evaluate the safety of treatment. According to the rate of reduction in the total score of the PSQI as the evaluation standard, 12 patients were cured, 46 significantly improved, 22 improved, and 4 showed no improvement, resulting in a total effective rate of 95.29% and a patient satisfaction rate of 90.58%, both showing statistically significant differences ( P < .05). So ear acupressure can effectively treat insomnia.

Indexed as

AcupressureAcupuncture, EarSleep Initiation and Maintenance DisordersAdultFemaleHumansMaleMiddle AgedPatient SatisfactionProspective StudiesSurveys and QuestionnairesTreatment Outcomeear acupuncture therapyinsomniasingle-arm clinical study

Identifiers

PMID40298359
PMCPMC13680768

What OpenQuestion 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 OpenQuestion graph.