Evidence map›Paper›PMID 35126896›Full record

ArticleJournal of healthcare engineering2022

Curative Effects of Remote Home Management Combined with Feng's Spinal Manipulation on the Treatment of Elderly Patients with Lumbar Disc Herniation.

Yaqing Min, Peng Xu

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Yaqing MinPla Spine Center of Manipulative Orthopedics, Air Force Medical Center, Pla 100142, Beijing, China.ORCID 0000-0002-7142-9731
Peng XuDepartment of Rehabilitation Medicine, Baotou Mongolian Traditional Chinese Medicine Hospital, Baotou 014040, Inner Mongolia Autonomous Region, China.
Air Force General Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the curative effects of remote home management combined with Feng's spinal manipulation on the treatment of elderly patients with lumbar disc herniation (LDH).

methodsThe clinical data of 100 patients with LDH in our hospital (December 2019-December 2020) were retrospectively reviewed. The 100 patients were equally divided into a routine treatment group and interventional group according to the order of admission. The routine treatment group received conventional rehabilitation training, and the interventional group received remote home management combined with Feng's spinal manipulation. The Oswestry disability index (ODI) and straight leg raising test were adopted for the assessment of the degrees of dysfunction and straight leg raising angles of the two groups after intervention. The curative effects of the two rehabilitation programs were evaluated.

resultsCompared with the routine treatment group, the interventional group had a remarkably higher excellent and good rate (

conclusionThe remote home management combined with Feng's spinal manipulation, as a reliable method to improve the quality of life and the back muscular strength of the elderly patients with LDH, can substantially increase the straight leg raising angle and reduce the degree of dysfunction. Further study is conducive to establishing a better solution for the patients with LDH.

Indexed as

Intervertebral Disc DisplacementManipulation, SpinalAgedHumansLumbar VertebraeQuality of LifeRetrospective StudiesTreatment Outcome

Identifiers

PMID35126896
PMCPMC8808117
OpenAlexW4210355249

What OpenQuestion holds

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LicenceCC BY
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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.