Evidence map›Paper›PMID 40781134›Full record

ArticleScientific reports2025

Efficacy analysis of high-intensity laser therapy for post lumbar surgery syndrome.

Ruizhao Zhao, Junjie Qiao, Xinyao Lv, Xiutong Fang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
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. 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

4 authors.

Ruizhao ZhaoBeijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Junjie QiaoBeijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Xinyao LvBeijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Xiutong FangBeijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. fangxiutongsp@163.com.

Funding

Beijing Haidian District Health and Scientific Research Incubation Program HP2023-04-506003
6 · The paper itself

Abstract

This retrospective cohort study investigated the efficacy of high-intensity laser therapy (HILT) in patients with the Post-Lumbar Surgery Syndrome (PLSS). The study analyzed patients diagnosed with PLSS who were admitted to our hospital between 2020 and 2023. In this study, patients were grouped by past treatment: Group A (oral medication) and Group B (high-intensity laser therapy plus oral medication).We conducted a comprehensive review of medical records to compare longitudinal outcomes, including visual analog scale (VAS) scores of low back pain, Oswestry Disability Index (ODI) assessments, and paraspinal muscle fat infiltration levels. Data were extracted at multiple time points: pre-treatment baseline, as well as post-treatment intervals of one week, one month, three months, six months, and twelve months. At 3-month and 6-month post-treatment, VAS scores of Group B were significantly lower than those of Group A (P < 0.001). At 12-month post-treatment, the ODI of Group B was significantly lower than that of Group A (P < 0.05). In patients of Group B, HILT may demonstrate a positive effect on the lumbar paraspinal muscles fat infiltration (PMFI) (P < 0.001). HILT demonstrates efficacy in alleviating clinical symptoms of PLSS and represents a viable adjuvant therapy for symptom management.

Indexed as

Laser TherapyLow Back PainLumbar VertebraePostoperative ComplicationsAdultAgedFemaleHumansLumbosacral RegionMaleMiddle AgedPain MeasurementParaspinal MusclesRetrospective StudiesTreatment OutcomeGabapentinHigh-Intensity laser therapyParaspinal muscle fat infiltrationPost lumbar surgery syndrome

Identifiers

PMID40781134
PMCPMC12334732

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LicenceCC BY-NC-ND
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Registered trials

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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.