Evidence map›Paper›PMID 33585624›Full record

ArticleWorld journal of clinical cases2021

Effect of biofeedback combined with high-quality nursing in treatment of functional constipation.

Xiu Zhao, Jin Meng, Jin Dai, Zhi-Tao Yin

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Xiu ZhaoDepartment of Anorectal Disease, Shenyang Coloproctology Hospital, Shenyang 110000, Liaoning Province, China.
Jin MengDepartment of Anorectal Disease, Shenyang Coloproctology Hospital, Shenyang 110000, Liaoning Province, China.
Jin DaiDepartment of Constipation, Shenyang Coloproctology Hospital, Shenyang 110000, Liaoning Province, China.
Zhi-Tao YinDepartment of Anorectal Disease, Shenyang Hospital of Traditional Chinese Medicine, Shenyang 110000, Liaoning Province, China. yinzitao@163.com.
Shenyang Anorectal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional constipation (FC) is a common functional gastrointestinal disease with various clinical manifestations. It is a physical and mental disease, which seriously affects patient physical and mental health and quality of life. Biofeedback therapy is the treatment of choice for FC, especially outlet obstructive constipation caused by pelvic floor dysfunction. High-quality nursing is a new nursing model in modern clinical work and a new concept of modern nursing service.

aimTo explore the effect of biofeedback combined with high-quality nursing in the treatment of FC.

methodsA total of 100 patients with FC admitted to our hospital from March 2015 to July 2019 were selected for clinical observation. These patients were randomly divided into two groups of 50: Experimental group (biofeedback combined with high-quality nursing treatment group) and control group (biofeedback group).

resultsThe constipation symptom score of the experimental group was significantly lower than that of the control group, and the difference was statistically significant (

conclusionThe application of biofeedback combined with high-quality nursing in the treatment of FC has significant advantages over pure biofeedback treatment, and it is worthy of promotion in clinical work.

Indexed as

BiofeedbackFunctional constipationHigh quality carePelvic floor dysfunctionSelf-rating anxiety scaleSelf-rating depression scale

Identifiers

PMID33585624
PMCPMC7852631
OpenAlexW3123598236

What OpenQuestion holds

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LicenceCC BY-NC
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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.