Cervical cancer treatment for operable lesions in a low-resource contemporary setting.
Bibliographic record
Abstract
5107 Background: To compare HIV+ and HIV- women with operable cervical cancer in a low resource contemporary setting. Methods: A retrospective study using well-matched controls from a Kenyan teaching and referral hospital. Results: 183 women were treated for cervical cancer between October 2007 and June 2011. The histologic subtype was squamous cell in all but one case. At presentation, 28 had operable lesions (Stage IA1–IIB1); 7 more received neoadjuvant chemotherapy prior to surgery. HIV seroprevalence was 54% (18/33) among initial operative cases and 57% among the neoadjuvant group (p=ns). Mean age was 42 (HIV+), and 43 (HIV-), (range 25-64). HIV- vs. HIV+ cervical cancer patients (mean CD4 count 373, 50%<200) were detected by visual inspection with acetic acid (VIA) (18% (2/11)vs 68% (15/22) p=.099), symptoms (27%(3/11) vs 14%(3/22) p=.43), or Pap smear (45% (5/11) vs .09% (2/22) p=.06), respectively.HIV+ patients (two Stage IB1, two Stage IB2) did not require more downstaging than HIV- patients (two stage IIB, one stage IIIA) before surgery (18% (4/22) vs 27% (3/11) p=.63). Surgical treatments were not statistically different in either group and included radical hysterectomy(25), total abdominal hysterectomy(2), cesarean hysterectomy(1), and total vaginal hysterectomy(5). Postoperative complications included fever, dehiscence, DVT, ileus, fistula, and infectious complications (chest, urinary tract, wound). One HIV- patient suffered postoperative fever, vesicovaginal fistula, and wound dehiscence (overall complications .06%).Lymph node involvement was noted in 7 HIV+ and 3 HIV- patients who underwent full staging procedures (p=.004). Conclusions: In patients with operable cervical cancer, HIV serostatus does not affect complication rate or influence need for downstaging prior to surgery compared to a well-matched control group. HIV+ patients were not more likely to receive neoadjuvant chemotherapy but were more likely to have positive lymph nodes. VIA detected the majority of cervical cancers HIV+ patients.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".