Evidence map›Paper›PMID 33708044›Full record

ReviewInternational journal of health sciences

A systematic review and meta-analysis on the efficacy of physiotherapy intervention in management of lumbar prolapsed intervertebral disc.

Varun Singh, Manoj Malik, Jaspreet Kaur, Sivachidambaram Kulandaivelan, Sonu Punia

Open access · greenAbstract readReview
In one paragraph

Review in International journal of health sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Varun SinghDepartment of Physiotherapy, Guru Jambheshwar University of Science and Technology, Hisar, India.
Manoj MalikDepartment of Physiotherapy, Guru Jambheshwar University of Science and Technology, Hisar, India.
Jaspreet KaurDepartment of Physiotherapy, Guru Jambheshwar University of Science and Technology, Hisar, India.
Sivachidambaram KulandaivelanDepartment of Physiotherapy, Guru Jambheshwar University of Science and Technology, Hisar, India.
Sonu PuniaDepartment of Physiotherapy, Guru Jambheshwar University of Science and Technology, Hisar, India.
Guru Jambheshwar University of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this meta-analysis and systematic review is to analyze the efficacy of physiotherapy interventions in management of lumbar prolapsed intervertebral disc (PIVD).

methodRandomized controlled trials (RCTs) were searched in PubMed and Cochrane Library using related keywords and advanced option, from commencement to January 2019. Quality of researches was assessed by PEDro scoring. Risk of bias and homogeneity were assessed using Cochrane risk of bias tool and I

resultsEleven RCTs were included in this systematic review. Six RCTs were excluded from meta-analysis due to insufficient data availability. Meta-analysis reveals significant decrease in pain (

conclusionPhysiotherapy interventions are effective in management of lumbar PIVD. Physiological and biomechanical factors such as correction of the displaced disc, opening of the foramina, increase in intervertebral space, and reduction in herniation size with negative intradiscal pressure may be possible mechanisms.

Indexed as

Lumbar disc herniationLumbar prolapsed intervertebral discPhysiotherapy interventionSciatica

Identifiers

PMID33708044
PMCPMC7934127
OpenAlexW3133727189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.