Evidence map›Paper›PMID 42292221›Full record

ArticleFrontiers in medicine2026

Clinical and imaging impact of diabetes mellitus on elderly patients with lumbar spinal stenosis: a retrospective propensity score-matched study with ≥5-year follow-up.

Tusheng Li, Baodong Wang, Aobo Wang, Ning Fan, Ziqian Ma, Lei Zang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. 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
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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

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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

6 authors.

Tusheng Li *Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Baodong Wang *Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Aobo WangDepartment of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ning FanDepartment of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ziqian MaDepartment of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Lei ZangDepartment of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Percutaneous transforaminal endoscopic decompression (PTED) is an effective minimally invasive procedure for elderly patients with lumbar spinal stenosis (LSS). This study aimed to investigate the long-term clinical and imaging effects of diabetes mellitus (DM) in elderly patients with LSS treated with PTED. Methods: From January 2016 to December 2019, this study retrospectively reviewed 232 patients with single-level LSS who underwent PTED, comprising 45 patients with DM and 187 without DM. Propensity score matching (PSM) was conducted to balance baseline covariates between the DM and non-DM groups. Demographic data, clinical scores, radiographic parameters, complications, and reoperation rates were collected and compared. Results: After PSM, 74 patients were included, with a follow-up duration of 60-108 months. Compared with the DM group, the non-DM group demonstrated significantly greater improvement in visual analog scale scores for low back pain and leg pain, Japanese Orthopaedic Association score, and Oswestry Disability Index at 24 months postoperatively and at the last follow-up ( Conclusion: Elderly patients with LSS and DM demonstrated poorer long-term clinical outcomes after PTED. DM was associated with more severe intervertebral disc degeneration and greater fat infiltration of the multifidus muscles. Stricter postoperative glycemic control and comprehensive management of muscle function are required for elderly patients with LSS and DM.

Indexed as

diabetes mellitusdisc degenerationelderly patientslumbar spinal stenosispropensity score matching

Identifiers

PMID42292221
PMCPMC13259833

What Socratic holds

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LicenceCC BY
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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 Socratic graph.