Evidence map›Paper›PMID 37365734›Full record

SynthesisNursing open2023

Effect of WeChat-based continuous care intervention on the somatic function, depression, anxiety, social function and cognitive function for cancer patients: Meta-analysis of 18 RCTs.

Zhuoxin Wang, Shanshan Deng, Hekai Lv, Yanyan Fan, Li Zhang, Fuzhi Wang

Abstract readMeta-AnalysisSystematic ReviewReview
In one paragraph

Synthesis in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
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.

Zhuoxin WangSchool of Nursing, Bengbu Medical College, Bengbu, China.ORCID 0000-0002-9269-5000
Shanshan DengSchool of Nursing, Bengbu Medical College, Bengbu, China.
Hekai LvSchool of Health Management, Bengbu Medical College, Bengbu, China.
Yanyan FanSchool of Nursing, Bengbu Medical College, Bengbu, China.
Li ZhangSchool of Nursing, Bengbu Medical College, Bengbu, China.
Fuzhi WangSchool of Health Management, Bengbu Medical College, Bengbu, China.

Funding

Bengbu Medical College's 512 Talent Project BY51201209Innovation Team of Health Information Management and Application Research, Bengbu Medical College BYKC201913
6 · The paper itself

Abstract

aimThis meta-analysis systematically reviewed and identified the effects of WeChat-based continuous care (WCC) interventions on various outcomes in cancer patients.

designSystematic review and meta-analysis.

methodsIn this study, outcome measures included somatic function, anxiety, depression, social function, and cognitive function. The standardized mean differences and 95% CIs of pooled effect sizes were calculated using fixed- and random-effects models. N

resultsThe meta-analysis included 18 RCTs of moderate quality. WCC interventions significantly improved somatic function, depression, anxiety, social function, and cognitive function in cancer patients. There was no significant publication bias, and the sensitivity analysis indicated robust results. PATIENT OR PUBLIC CONTRIBUTION: WCC interventions improved depression, anxiety, social function, and cognitive function in cancer patients.

Indexed as

AnxietyCognitionDepressionNeoplasmsHumansRandomized Controlled Trials as Topiccancercontinuous caremeta-analysisWeChat

Identifiers

PMID37365734
PMCPMC10416022

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.