Evidence map›Paper›PMID 37063589›Full record

ArticleFrontiers in psychology2023

Psychometric properties of the post-stroke depression scale in the sequelae stage.

Yawei Zeng, Fengzhen Li, Liuqiao Ning, Yingjie Fu, Yajing Ge, Beibei Gan, Suichai Lin, Haiyun Lin, Jufang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 1 institution in 1 country.

Yawei ZengSchool of Nursing, Wenzhou Medical University, Wenzhou, China.
Fengzhen LiSchool of Nursing, Wenzhou Medical University, Wenzhou, China.
Liuqiao NingSchool of Nursing, Wenzhou Medical University, Wenzhou, China.
Yingjie FuSchool of Nursing, Wenzhou Medical University, Wenzhou, China.
Yajing GeDepartment of Wound Repair, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Beibei GanDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Suichai LinDepartment of Emergency, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Haiyun LinDepartment of Rehabilitation Medicine, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jufang LiSchool of Nursing, Wenzhou Medical University, Wenzhou, China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS). Background: The incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the PSDS-SS by Delphi method, but its psychometric properties need to be further verified. Method: This was a cross-sectional study. Seven hundred and sixteen stroke patients in the sequelae stage were enrolled by purpose sampling from May 2022 to September 2022. The exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to verify the factor structure of the scale. The reliability of the scale was tested by Cronbach's Result: Eight items were deleted through item analysis. The EFA ended up with a 5-factor scale including 24 items after removing one item with low factor loading. Finally, a 21-item model was established by confirmatory factor analysis, and all the fit indexes were acceptable. The reliability and validity of the total scale and each factor are acceptable. Conclusion: The PSDS-SS has a stable factor structure, and demonstrated good reliability and validity. And it would be an effective tool to assess PSD in the sequelae stage.

Indexed as

confirmatory factor analysisexploratory factor analysismeasurement developmentpost-stroke depressionsequelae stage

Identifiers

PMID37063589
PMCPMC10102496
OpenAlexW4362468719

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.