Systematic review and meta-analysis of single-incision versus conventional multiport laparoscopic splenectomy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: There is no consensus that single-incision laparoscopic surgery splenectomy (SILS-SP) is on a par with conventional multiport laparoscopic surgery splenectomy (CMLS-SP). AIMS: The aim of this systematic review and meta-analysis was to assess feasibility and safety of SILS-SP when compared with CMLS-SP. MATERIALS AND METHODS: Eligible articles were identified by searching several databases including PubMed, EMBASE, CNKI (China) and the Cochrane Library, up until February 2016. Studies were reviewed independently and rated by Newcastle-Ottawa Quality Assessment Scale. Evaluated outcomes were complications, operative time, post-operative hospital stay, blood loss, starting diet, post-operative pain scores, conversion and analgesic requirements. RESULTS: Ten retrospective studies met the eligibility criteria. Overall, there was no significant difference between SILS-SP and CMLS-SP in complications, operative time, post-operative hospital stay, blood loss, starting diet, post-operative pain scores, conversion and analgesic requirements. CONCLUSIONS: SILS-SP is feasible and safe in certain patients, with no obvious advantages over CMLS-SP. Therefore, it may be considered an alternative to CMLS-SP. We await high-quality, double-blind RCTs. These should include clear statements on standard scores of post-operative pain and cosmetic results, longer follow-up assessment and cost-benefit analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.024 | 0.011 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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 it