L’équilibre postural après une mastectomie unilatérale sans reconstruction mammaire chez les femmes survivantes du cancer du sein
Bibliographic record
Abstract
Introduction : Breast cancer is the 1st most common cancer in women. It is the most common, but also the deadliest cancer in women. There are several types of treatments : invasive such as mastectomy, or non-invasive such as chemotherapy, and sometimes two types of treatments will be combined. This cancer affects women psychologically in terms of intimacy, and physically in terms of postural balance. Objective : The main aim is to analyze whether unilateral mastectomy after breast cancer can cause a change in postural balance in breast cancer survivors. Method : A literature search was performed on several databases, including google scholar, Pubmed, Science direct and other, with no restrictions on publication date or types of studies. Randomized studies were to be preferred, but the lack of studies on the subject means that this parameter could not be taken into account. Datas to be extracted will be the number of subjects in the study, the protocol and the results required to identify potential postural disorders. The evaluation of the methodological quality of the included studies is analyzed using the Newcastle Ottawa Scale (NOS). Results : the four included studies were analyzed quantitatively. NOS scores ranged from 4 to 6 out of 9. The standardized confidence interval was used to create a forest plot with a mean standardized confidence interval estimate of 0.36 [0.24; 0.49] in favor of more pronounced postural control disorders with mastectomy than without. Discussion : these results nevertheless present biases that need to be taken into account when interpreting them. Study protocols differed slightly, with the number of subjects varying from one study to another and the absence of a gold standard resulting in moderate heterogeneity. The results seem to show a more pronounced disorder with mastectomy than without, but more articles are needed for these results to be statistically reliable and recognized.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".