Evidence map›Paper›PMID 41341516›Full record

ArticleFrontiers in neurology2025

Clinical application of unilateral biportal endoscopic lumbar interbody fusion in lumbar degenerative diseases: a multi-center study.

Yunsheng Chen, Jian Wu, Qiaoxin Li, Yaohong Wu, Canhua Xu, Rongchun Chen, Jiangyou Shi, Liping Liu, Linbo Sun, Jun Xiong

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yunsheng ChenDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Jian WuDepartment of Orthopedics, Shangyou County People's Hospital, Ganzhou, Jiangxi, China.
Qiaoxin LiDepartment of Orthopedics, Quannan County People's Hospital, Ganzhou, Jiangxi, China.
Yaohong WuDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Canhua XuDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Rongchun ChenDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Jiangyou ShiDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Liping LiuDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Linbo SunDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Jun XiongDepartment of Spinal Surgery, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study endeavors to evaluate the clinical efficacy of unilateral biportal endoscopic lumbar interbody fusion (ULIF) in managing lumbar degenerative diseases (LDD) through a multi-center investigation. Methods: One hundred patients diagnosed with LDD between August 2022 and August 2024 were enrolled and allocated to either the ULIF cohort (ULIF group, Results: The ULIF group demonstrated a higher three-month interbody fusion rate than the PLIF group ( Conclusion: ULIF enhances postoperative pain relief, functional recovery, and inflammatory resolution, while simultaneously shortening operative and hospitalization durations, minimizing intraoperative blood loss, and maintaining a favorable safety profile in LDD patients.

Indexed as

inflammatory mediatorsinterbody fusion ratelumbar degenerative diseasesposterior lumbar interbody fusionspinal functionunilateral biportal endoscopic lumbar interbody fusion

Identifiers

PMID41341516
PMCPMC12668916

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.