Evidence map›Paper›PMID 36248149›Full record

ArticleBrain & spine2022

Proposed objective scoring algorithm for clinical evaluation of walking asymmetry in lumbar disc herniation, based on relevant gait metrics from wearable devices: The Gait Symmetry Index (GSiTM) - Observational study.

Pragadesh Natarajan, R Dineth Fonseka, Luke Sy, Ralph Jasper Mobbs, Monish Maharaj

Open access · goldAbstract read
In one paragraph

Article in Brain & spine, 2022. 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 28% 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, 5 citations in OpenAlex.

  1. Article
  2. Observational
  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.

Pragadesh NatarajanWearables and Gait Assessment Research Group (WAGAR), Sydney, Australia.
R Dineth FonsekaWearables and Gait Assessment Research Group (WAGAR), Sydney, Australia.
Luke SyWearables and Gait Assessment Research Group (WAGAR), Sydney, Australia.
Ralph Jasper MobbsWearables and Gait Assessment Research Group (WAGAR), Sydney, Australia.
Monish MaharajWearables and Gait Assessment Research Group (WAGAR), Sydney, Australia.
UNSW Sydney · AUPrince of Wales Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

•The proposed GSi algorithm aims to objectively evaluate the walking impairment associated with lumbar disc herniation (LDH).•GSi is calculated as deviation from mean (age-matched) normative values for gait velocity, step time asymmetry and step length asymmetry.•Clinical performance was assessed in a prospective, single surgeon series of 33 lumbar disc herniation (LDH) patients.•GSi was lower in LDH participants with significant distribution between surgical and conservative management subgroups.

Identifiers

PMID36248149
PMCPMC9559967
OpenAlexW4229028557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.