Evidence map›Paper›PMID 37697377›Full record

ArticleCost effectiveness and resource allocation : C/E2023

Cost-effectiveness analysis of robot-assisted gait training in patients with bilateral spastic cerebral palsy.

Stanislava Klobucká, Robert Klobucký, Katarína Valovičová, Pavol Šiarnik, Branislav Kollár

Open access · goldAbstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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.

Stanislava KlobuckáRehabilitation Centre Harmony, Bratislava, Slovakia. stanislavaklobucka@gmail.com.
Robert KlobuckýInstitute for Sociology, Slovak Academy of Sciences, Bratislava, Slovakia.
Katarína Valovičová1st Department of Neurology, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovakia.
Pavol Šiarnik1st Department of Neurology, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovakia.
Branislav Kollár1st Department of Neurology, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovakia.
Comenius University Bratislava · SKInstitute for Sociology of the Slovak Academy of Sciences · SK

Funding

VEGA Grant 1/0022/23 VEGA Grant 1/0022/23.
6 · The paper itself

Abstract

backgroundTo date, there have been no published studies evaluating the cost-effectiveness of robot-assisted gait training (RAGT) in adolescent and adult patients with cerebral palsy (CP). The study´s aim was to analyse the cost-effectiveness of RAGT versus conventional kinesiotherapy (CON) from the health care provider's perspective.

methodsWe expressed the cost-effectiveness of RAGT in the Lokomat

resultsAccording to the calculated ICER ratio for Lokomat

conclusionHowever, from the comprehensive analysis of the results and evaluation of the long-term effects, it follows that RAGT applied in adolescent and adult patients with bilateral spastic CP is not only more effective in terms of evaluation of monitored clinical parameters, but in the long term it is also more cost-effective compared to conventional therapy.

Indexed as

Advanced rehabilitation technologiesCerebral palsyGross motor functionsHealth technology assessmentLokomat®Neurorehabilitation

Identifiers

PMID37697377
PMCPMC10496243
OpenAlexW4386602498

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.