Evidence map›Paper›PMID 34195155›Full record

ArticleAdvanced biomedical research2021

Evaluation of Sleep Training Effectiveness on the Quality of Sleep in Cancer Patients during Chemotherapy.

Leila Alem, Hourieh Ansari, Ali Hajigholami

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Leila AlemStudent of Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Hourieh AnsariAssistant Professor of Community Medicine, Department of Community Medicine, Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Ali HajigholamiAssistant Professor of Internal Medicine, Department of Internal Medicine, Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disorder is one of the most common problems in cancer patients involved in chemotherapy stages, which is caused by the side effects of anticancer drugs and the exacerbation of mental disorders. The aim of this study was to evaluate the effectiveness of sleep health education on sleep quality of cancer patients during chemotherapy stages. MATERIALS AND

methodsIn this clinical trial, 70 cancer patients were selected in the chemotherapy phase and divided into two groups of 35. In the intervention group, two 60-min training sessions on sleep hygiene were educated, solutions of coping with the exacerbation of sleep disturbances were determined, and routine care was provided in the control group. Patients were evaluated for sleep disorders before and 1 and 3 weeks after the intervention by the Pittsburgh questionnaire and then the effect of this intervention compared between the two groups.

resultsThe mean score of sleep medication consumption in the intervention group was not significantly different between the three times (

conclusionSleep health education for cancer patients involved in chemotherapy can significantly have a positive effect on improving their sleep quality.

Indexed as

Cancerchemotherapyhealth educationquality of sleep

Identifiers

PMID34195155
PMCPMC8204816
OpenAlexW3141359212

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.