Evidence map›Paper›PMID 37762771›Full record

ArticleJournal of clinical medicine2023

Minimal Clinically Important Difference (MCID) in the Functional Status Measures in Patients with Stroke: Inverse Probability Treatment Weighting.

Yu-Chien Chang, Hsiu-Fen Lin, Yu-Fu Chen, Hong-Yaw Chen, Yu-Tsz Shiu, Hon-Yi Shi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
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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 at 3 institutions in 1 country.

Yu-Chien ChangDivision of Neurology, Department of Internal Medicine, Yuan's General Hospital, Kaohsiung 80249, Taiwan.
Hsiu-Fen LinDepartment of Neurology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan.
Yu-Fu ChenDepartment of Clinical Education & Research, Yuan's General Hospital, Kaohsiung 80249, Taiwan.
Hong-Yaw ChenSuperintendent and Division of Digestive Surgery, Department of Surgery, Yuan's General Hospital, Kaohsiung 80249, Taiwan.
Yu-Tsz ShiuDepartment of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Hon-Yi ShiDepartment of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.ORCID 0000-0003-4700-0190
Yuan's General Hospital · TWKaohsiung Medical University · TWNational Sun Yat-sen University · TW

Funding

Kaohsiung Medical University KMU-DK(A)112009Ministry of Science and Technology MOST 108-2410-H-037-006-SS3 & 111-2410-H-037-002-MY3Yuan's General Hospital YUAN-IACR-22-05 or ST110003
6 · The paper itself

Abstract

This study proposed to evaluate the temporal trend, define the minimal clinically important difference (MCID) for five functional status measures, and identify risk factors for reaching deterioration in the MCID. This prospective cohort study analyzed 680 patients with ischemic stroke and 151 patients with hemorrhagic stroke at six hospitals between April 2015 and October 2021. All patients completed the functional status measures before rehabilitation (baseline), and at the 12th week and 2nd year after rehabilitation. Patients in the post-acute care (PAC) group exhibited significantly larger improvements for the functional status measures compared to those in the non-PAC group (

Indexed as

deteriorationhemorrhagic strokeischemic strokeminimal clinically important differencepost-acute care

Identifiers

PMID37762771
PMCPMC10532241
OpenAlexW4386524799

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.