Effects of spinal deformities on lower limb kinematics during walking: a systematic review and meta-analysis
Bibliographic record
Abstract
Spinal deformities characterized by malalignment of the spinal column, including scoliosis, hyper kyphosis, and lordosis, can significantly impact lower limb kinematics, potentially leading to altered gait patterns. We aimed to synthesize existing literature investigating the effect of spinal deformities on lower limb kinematics during walking. We searched Four databases including PubMed, Web of Science, Scopus and Embase from their inception through 29th December 2024. The Newcastle-Ottawa Scale was applied to assess quality of included studies and the Grading of Recommendations Assessment, Development and Evaluation (GRADE system) was employed to assess the overall quality of the evidence in the meta-analysis. Mean differences and 95% confidence intervals (CI) were calculated with random effects model in RevMan version 5.4. The review included 35 studies with 1941 participants. Regarding scoliosis, strong evidence suggested a significant increase in right leg stance% and non-significant changes in left leg cadence, right and left leg speed and ankle transverse ROM in individuals with scoliosis compared to controls. Sensitivity analysis showed strong evidence of decrease in right leg stride length and ankle sagittal ROM, decrease in left leg single support and non-significant change in left leg step length. Individuals with sagittal malalignment showed strong evidence of significant reduction in velocity; moderate evidence suggested a significant increase in double support and a decrease in stride length, knee and hip sagittal ROM. Sensitivity analysis revealed strong evidence of a significant decrease in cadence during walking in individuals with sagittal trunk malalignment compared to controls. Participants with adult spinal deformity exhibited strong evidence of increased double support and decreased cadence during walking compared to controls. Spinal deformities significantly alter lower limb kinematics during gait. Our findings highlight the essential need for clinicians to take gait alterations into account when developing targeted interventions for individuals with spinal deformity.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.028 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".