ArticleBMC musculoskeletal disorders2025
Comparative analysis of surgically treated degenerative cervical and lumbar spine diseases using multiple clinical aging indices.
Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prevalence of degenerative spine diseases has continued to rise with the aging of the global population. Despite the availability of various aging indices, limited studies have comprehensively investigated degenerative spine diseases from the perspective of aging. This study aimed to evaluate degenerative cervical and lumbar diseases surgically treated using multiple clinical aging indices and elucidate the characteristics of each condition through comparative analysis.
methodsClinical data of consecutive patients aged ≥ 65 years who underwent surgery for degenerative cervical and lumbar diseases were retrospectively collected. Frailty was assessed using the 11-point modified frailty index. Locomotive syndrome stage was determined based on the 25-Question Geriatric Locomotive Function Scale. Functional decline was assessed according to the Kihon Checklist. Polypharmacy was defined based on a cutoff of six drugs. A total of 19 categories were considered potentially inappropriate medications.
resultsAmong the included patients, 313 and 103 had degenerative lumbar (L group) and degenerative cervical (C group) diseases, respectively. The C group had significantly lower serum albumin levels (p = 0.03), a significantly higher frequency of functional decline in both physical function (p = 0.02) and activities of daily living (p = 0.046), and significantly more advanced frailty (p = 0.004) than the L group. Among potentially inappropriate medications, the frequency of diuretic use was significantly higher in the C group than in the L group (p = 0.04). Longitudinal observations showed significant postoperative improvements in locomotive syndrome stages in the L group but not the C group. Cross-sectional observations revealed no significant differences in locomotive syndrome stage distributions between both the groups before surgery (p = 0.402); however, the C group exhibited significantly more advanced locomotive syndrome stages than the L group at 6 months (p < 0.001) and 1 year after surgery (p < 0.001).
conclusionsAcross various indices of aging, patients with degenerative cervical spine disease showed more significant progression than those with lumbar spine disease. Thorough understanding of these characteristics is essential when managing degenerative spine diseases, particularly in the selection of effective treatment approaches for the increasingly aging society in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.