Preserving of intercostobrachial nerve relieves breast carcinoma patients from postmastectomy pain syndrome
Bibliographic record
Abstract
Background: Post-mastectomy pain syndrome (PMPS) is a complication experienced by majority of the patients who undergo breast surgery for cancer. The etiology of this chronic neuropathic pain syndrome seems to be complex and it is still understood below par. Injury to the intercostobrachial (ICB) nerve is presumed to be the dominant one for developing PMPS. This prospective study was designed to appraise the effect of preservation of intercostobrachial nerve on post-mastectomy pain syndrome and also to determine the most common anatomical variation of the intercostobrachial nerve during surgery.Methods: A total of 100 patients were included in this study and were divided into 2 groups. Group A included patients with ICB nerve preserved and Group B patients with ICB nerve sectioned. The patients were evaluated for pain subjectively on the 2nd day, 1 month and in the 3rd month post-operatively by short form of McGill pain questionnaire and visual analog scale. During surgical dissection, anatomical variation of ICB nerve was ascertained each time.Results: After 3 months, 68.2% of the patients were asymptomatic in Group A (ICB nerve preservation group) and 31.8% in the Group B (nerve section group) (chi-square test was applied and p value was 0.002). We found that type 1 anatomical variation was commonest with 87%.Conclusions: Preservation of ICB nerve might greatly decrease the incidence of PMPS. Hence, the insight of the anatomical variations of this nerve is very crucial for the operating surgeons to preserve them and to prevent PMPS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".