Evidence map›Paper›PMID 36068493›Full record

ArticleBMC neurology2022

Predictive nomogram for soft robotic hand rehabilitation of patients with intracerebral hemorrhage.

Peng Jin, Wei Jiang, Qing Bao, Wenfeng Wei, Wenqing Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2022. 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
0.4field-weighted citation impact, top 38% 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, 3 citations in OpenAlex.

  1. Pooled it
  2. Trial
  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

5 authors at 2 institutions in 1 country.

Peng JinDepartment of Neurosurgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, 213017, Jiangsu, China.
Wei JiangDepartment of Neurosurgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, 213017, Jiangsu, China.
Qing BaoDepartment of Neurosurgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, 213017, Jiangsu, China.
Wenfeng WeiDepartment of Neurosurgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, 213017, Jiangsu, China.
Wenqing JiangDepartment of Neurosurgery, Wujin Hospital Affiliated With Jiangsu University, Changzhou, 213017, Jiangsu, China. jiangwq@njmu.edu.cn.
Jiangsu University · CNXuzhou Medical College · CN

Funding

Changzhou Science and Technology Bureau CJ20210016Clinical Medical Science and Technology Development Foundation of Jiangsu University JLY2021020, JLY2021019Open Project of Jiangsu Province Key Laboratory of Encephalopathy biological information, Xuzhou Medical University XZXYSKF2021021Young Talent Development Plan of Changzhou Health Commission CZQM2020119
6 · The paper itself

Abstract

backgroundFew studies focused on the risk factors for hand rehabilitation of intracerebral hemorrhage (ICH) using of soft robotic hand therapy (SRHT). The aim of this study was to establish a predictive nomogram for soft robotic hand rehabilitation in patients with ICH.

methodsAccording to the Brunnstrom motor recovery (BMR) stage, the patients were grouped into poor and good motor function groups. The data of patient demographic information and serum level of C-terminal Agrin Fragment (CAF), S100B and neurofilament light (NfL) were collected. The logistic regression was used to analyze the risk factors for poor hand function.

resultsFinally, we enrolled 102 and 103 patients in the control and SRHT groups. For the SRHT group, there were 17 and 86 cases with poor and good motor function at 6-months follow-up respectively. In the good motor function group, the Fugl-Meyer Assessment-Wrist and Hand (FMA-WH score) and BMR score at admission were all better than that in the poor motor function group respectively (p < 0.001). The mean serum level of CAF, S100B and NfL in the good motor function group were 2.5 ± 0.82 ng/mL, 286.6 ± 236.4 ng/L and 12.1 ± 10.4 pg/mL respectively, which were lower than that in the poor motor function group (p < 0.001, Table 3). The multivariate logistic regression showed that hematoma volume (OR = 1.47, p = 0.007), FMA-WH score admission (OR = 0.78, p = 0.02), S100B (OR = 1.32, p = 0.04), and NfL (OR = 1.24, p = 0.003) were all significant predictors of poor motor function.

conclusionsWe found that Soft robotic hands therapy benefited in hand function in patients with ICH and hematoma volume, FMA-WH score admission, S100B, and NfL were all significant predictors for poor motor function of patients with ICH.

Indexed as

RoboticsCerebral HemorrhageHematomaHumansNomogramsRecovery of FunctionCerebral hemorrhageNfLNomogramS100BSoft robotic hands therapy

Identifiers

PMID36068493
PMCPMC9446740
OpenAlexW4294751001

What OpenQuestion holds

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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.