Therapeutic Strategy and Outcome of Spine Tumors in Pregnancy
Bibliographic record
Abstract
In Brief Study Design. A retrospective study was performed. Objective. To illustrate the characteristics of spine tumors during pregnancy and obtain better insight into therapeutic strategies of such tumors by analyzing 21 cases treated in Changzheng Hospital and reviewing previous reports in the literature. Summary of Background Data. The concurrence of spine tumors and pregnancy is relatively rare. There are controversies over the treatment options for this disease, which increase the difficulty of the clinical treatment. Methods. Between 2002 and 2013, 21 pregnant patients were identified with spine tumors. Clinical data including symptoms, signs, treatment options, and obstetrical and neonatal outcomes were recorded and preserved. Clinical data and treatment efficacy were analyzed via medical record review. Results. The median age of the 21 patients was 28.87 years (interquartile range, 6.00 yr). Tumor types in this series were giant cell tumor (5 cases), hemangioma (5 cases), schwannoma (4 cases), eosinophilic granuloma (2 cases), neurofibroma (1 case), multiple myeloma (1 case), and with metastatic tumor (3 cases). Two patients underwent spine surgery during pregnancy and 8 patients accepted tumor resection immediately after delivery. Pregnancy termination occurred in 5 patients, whereas the rest of the patients smoothly gave birth to healthy babies including 3 premature infants. Two patients died and 2 patients experienced local recurrence during follow-up. Conclusion. With close observation, it was found that most of pregnant patients with benign spine tumors could postpone surgery after delivery. Surgical treatment should be adopted during pregnancy when patients are with highly malignant tumor or experience a sharp deterioration and the guard of it is safer than radiotherapy and chemotherapy during pregnancy. Level of Evidence: 4 The concurrence of spine tumors during pregnancy is rare. The optimal treatment options for this disease have been controversial. In this study, we identified 21 such patients. With close observation, most of pregnant patients with benign spine tumors could postpone surgery after delivery and prepartum spine surgery is feasible for patients with highly malignant tumor or experience a sharp deterioration.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".