Surgeon Perceptions and Reported Complications in Spine Surgery
Bibliographic record
Abstract
STUDY DESIGN: Systematic review. OBJECTIVE: To define the term "complications" from the spine surgery literature and contrast this with definitions from other federal institutions, to summarize the incidence of adverse events in cervical, thoracic, and lumbar spine surgery, to include the factors that contribute to these events, and to determine the relationship between complications and patient centered outcomes. SUMMARY OF BACKGROUND DATA: Efforts to understand and reduce complications in medicine, and spine surgery in particular have been hampered as a result of the lack of a meaningful and universally acceptable definition. The complex field of spine surgery has been a particularly challenging area for the development of a consensus to constructively describe these "undesirable/unanticipated developments arising during or out of the delivery of health care." Furthermore, an overall understanding of expected complication rates after major spine surgery is lacking. METHODS: A systematic review of the English literature was undertaken for articles published between 1990 and December 2008. Electronic and federal databases and reference lists of key articles were searched to identify articles defining complications and reporting rates of spine surgical complications. Two independent reviewers assessed the level of evidence quality using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria and disagreements were resolved by consensus. RESULTS.: The definitions for complications in the spine literature and federal agencies are inconsistent and at times conflicting. Mortality rates for cervical spine and lumbar spine surgery are <1%. For thoracic spine surgery, rates range from 0.3% to 7%. Complication rates range from 5% to 19%, 7% to 18%, and 4% to 14% after cervical, thoracic, and lumbar spine surgery, respectively. Findings from a single study indicate that major complications may have an impact on 1-year self-perceived general health. However, minor complications may not. CONCLUSION: We define a complication as an unintended and undesirable diagnostic or therapeutic event that may impact the patient's care. Complications should be recorded and analyzed relative to disease severity, patient comorbidities, and ultimately their effect on patient outcomes. Further work needs to be done to develop a complication risk impact index that has the ability to help us assess and communicate the interaction of patient comorbidities and complication severity on patient centered outcomes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".