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Record W4412856424 · doi:10.3389/fmed.2025.1536391

Continuity of care in lumbar disc herniation: a systematic review and meta-analysis providing a deeper look into postoperative efficacy

2025· review· en· W4412856424 on OpenAlexaboutno aff
Ying Lin, Qiaoling Chen, RouMei Wang, Bing Zhang, Rui Huang, Yiguang Bai

Bibliographic record

VenueFrontiers in Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
FundersChinese Government Scholarship
KeywordsFunnel plotMeta-analysisMedicineCochrane LibraryCINAHLMEDLINEPublication biasOswestry Disability IndexPhysical therapyScopusVisual analogue scaleSystematic reviewStrictly standardized mean differenceHealth carePsychological interventionNursingInternal medicineLow back painAlternative medicine

Abstract

fetched live from OpenAlex

Background Lumbar disk herniation is a prevalent spinal disorder. Continuity of care ensures seamless, coordinated, and high-quality management across healthcare transitions to optimize outcomes and reduce readmission risk. Insufficient structured postoperative care programs after diskharge may hinder recovery, lower quality of life, and increase complication risks. Objectives This study aims to explore the significance of continuity of care in enhancing the recovery outcomes of patients with lumbar disk herniation post-surgery through a meta-analysis. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted an extensive search across several databases, including MEDLINE (PubMed), EMBASE, Web of Science, Google Scholar, CINAHL, EBSCO, Cochrane Library and Scopus, without restrictions on language or publication date. A meta-analysis was performed using both fixed-effects and random-effects models based on heterogeneity assessment. We analyzed the data using R software version 4.2.2 and Stata software version 15.1. The risk of bias was assessed using the Cochrane Risk of Bias Tool, the Newcastle-Ottawa Scale (NOS), funnel plots, sensitivity analysis, Egger’s test, and Begg’s test. Results This study included a total of 15 studies, involving 1,804 participants. The meta-analysis results showed that the experimental group had significantly lower Visual Analog Scale (VAS), Oswestry Disability Index (ODI), and Self-Rating Anxiety Scale (SAS) scores 3 months post-operation compared to the conventional control group [SMD = −0.66, 95% CI (−0.91, −0.41), SMD = −0.91, 95%CI (−1.24, −0.58), SMD = −0.61, 95% CI (−0.91, −0.31), p < 0.01]. Additionally, the Japanese Orthopedic Association (JOA) score of the experimental group was significantly higher than that of the conventional control group at 3 months post-operation [SMD = 1.70, 95%CI (1.01, 2.39), p < 0.01]. Conclusion Our meta-analysis indicates that continued care interventions significantly alleviate postoperative pain, enhance lumbar function, reduce anxiety, and improve overall functional recovery in LDH patients. High-quality continued care interventions are critical strategies for enhancing postoperative recovery outcomes. Nonetheless, as the included primary studies predominantly originate from China, further validation of these findings in diverse regions and populations is warranted in future research. Systematic review registration PROSPERO https://www.crd.york.ac.uk/prospero/ , identifier CRD42024604420.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.043
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.043
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.373
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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