A commentary on “Comparative analysis of the efficacy of early and late surgical intervention for acute spinal cord injury: A systematic review and meta-analysis based on 16 studies” (Int. J. Surg. 2021 (94) 106098)
Bibliographic record
Abstract
Dear Editor, Traumatic spinal cord injury (SCI) with neurological impairment is a tragic event that imposes a significant burden on individuals and society. Symptoms of acute SCI include paralysis, numbness, or loss of bladder or bowel control. Despite investigations into potential neuroprotective and regenerative therapies, treatment options for patients with acute SCI remain scarce [1]. Currently, targeted blood pressure management, methylprednisolone or spinal cord decompression are commonly used clinically. The timing of surgical decompression is important. Although the optimal timing remains controversial, spinal decompression, vertebra stabilization, and maintenance of blood perfusion have been recognized as key factors for optimal outcomes in traumatic SCI [2]. A recent systematic review and meta-analysis by Qiu et al. [3] to compare the efficacy of early and late surgical interventions for acute SCI was published in a recent issue of International Journal of Surgery. The authors came to the conclusion that “compared with late surgery, acute SCI patients who underwent early surgery experienced greater recovery after spinal injury, with better neurological improvement, shorter length of stay, less charges and lower incidence of complications.” Although these results are of great importance, we would like to underline some issues on identification of included studies, quality assessment, and data analysis that are important in interpreting the findings of this study. First, detailed registration information should be highlighted and explained in the article. Registering an systematic review protocol is important as it enables promotion of transparency and avoidance of potential biases including both selection and selective outcome reporting biases. Second, it is not enough that only four databases were searched. Other English databases such as PsycINFO, Google Scholar, NLM Gateway, and BIOSIS previews should also be searched. Third, the authors clearly mentioned in the Methods that “two assessors receiving normative training beforehand independently evaluated the quality of all the included studies using the 9-star Newcastle-Ottawa Scale (NOS)”. However, some scholars believe that the NOS score has unknown validity at best, or it can include quality items that are even invalid. Using this score in evidence-based reviews and meta-analysis may produce highly arbitrary results [4]. Therefore, we suggest a modified version of the Downs and Black tool be used to assess the methodological quality of the non-randomized cohort studies [5]. In addition, the Kappa score, which measures agreement between reviewers, should also be provided in the article. Fourth, the authors used an inverse variance random effects model to pool the data in this review. In our opinion, these studies should be combined by using the DerSimonian and Laird random effects model, which considers both within- and between-study variations. Finally, although the funnel plot is the most common method used in detecting publication bias, as a rule of thumb, tests for funnel plot asymmetry should be used only when there are at least 10 studies included in the meta-analysis. It is unwise to use this method here because when there are fewer studies, the power of the test is too low to distinguish chance from real asymmetry. The Egger’s bias test is more appropriate to be used in this article. We respectfully appreciate that Qiu et al. provided us with an important meta-analysis which provides a guide for clinical decision-making. However, more studies with large sample sizes and good scientific designs are required on this topic. Provenance and peer review Commentary, internally reviewed. Funding None. Ethical approval Not Applicable. Research registration unique identifying number (UIN) Not applicable. Author contribution Liyun Jiang and Jin Zhang conceived, designed, and planed the study. Liyun Jiang supervised the study. Teng Chen drafted the manuscript. Zongping Xiao critically revised the manuscript for important intellectual content. All authors have full access to the manuscript and take responsibility for the study design. All authors have approved the manuscript and agree with submission. Guarantor Liyun Jiang. Declaration of competing interest None.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".