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Record W2986829640

[Comparison of short- and long-term outcomes between laparoscope-assisted transanal total mesorectal excision and laparoscopic total mesorectal excision for the treatment of mid and low rectal cancer: a meta-analysis].

2018· article· en· W2986829640 on OpenAlexaboutno aff
Xuan Zhang, Yi Gao, Xinglong Dai, Hongtao Zhang, Xianshuo Cheng, Qiang Li, Xinyi Cai, Tao Shen, Xiaomin Sun, Yunfeng Li

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTotal mesorectal excisionJadad scaleRandomized controlled trialCochrane LibrarySurgeryColorectal cancerMeta-analysisMesorectumLaparoscopyCancerInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate systematically the short- and long-term outcomes between laparoscope-assisted transanal total mesorectal excision (LA-taTME) and laparoscopic total mesorectal excision (L-TME) in the treatment of mid and low rectal cancer. METHODS: Literatures comparing LA-taTME with L-TME published from January 2014 to January 2018 were systematically selected through searching PubMed, Ovid, EMbase, Cochrane Library, CNKI and Wanfang databases. Literature screening and methodology quality evaluation were carried out by two surgeons independently. Randomized controlled trial (RCT) was evaluated by the modified Jadad rating scale, in which 1 to 3 and 4 to 7 were considered as low and high quality,respectively(total scores: 7). Non-randomized controlled trial (NRCT) was assessed by the modified Newcastle Ottawa Scale (NOS), in which 1 to 3, 4 to 6, and 7 to 9 were defined as low, moderate, and high quality, respectively (total score: 9). Ratio of incomplete mesorectum, positive rate of circumferential resection margin (CRM), number of harvested lymph node, distance of distal resection margin, operation time, intraoperative blood loss, morbidity of postoperative complication, conversion rate, hospital stay, recurrence, 2-year disease-free survival (DFS) and 2-year overall survival (OS) were compared and analyzed by using Stata/SE12.0 software. RESULTS: Fourteen studies including 1 RCT and 13 NRCTs were enrolled finally. Among them, the RCT with a score of 6 was considered to be of high quality; all NRCTs (2 with 6 stars, 5 with 7 stars, and another 6 with 8 stars) were indicative of moderate to high quality; 450 patients underwent LA-taTME and 498 patients underwent L-TME. No significant differences were observed in terms of age, gender, tumor location and TNM stage between two approaches (all P>0.05). Compared to L-TME, LA-taTME had lower ratio of incomplete mesorectum (RR=0.53, 95%CI: 0.31 to 0.93, P=0.026), lower positive rate of CRM (RR=0.50, 95%CI: 0.29 to 0.86, P=0.012), lower conversion rate(RR=0.48, 95%CI: 0.26 to 0.86, P=0.014), lower morbidity of postoperative complication (RR=0.81, 95%CI: 0.67 to 0.99, P=0.036) and less intraoperative blood loss (SMD=-0.38, 95%CI:-0.68 to -0.08, P=0.013). While the differences between two groups had no statistical significance in terms of operative duration, number of harvested lymph node, distance of distal resection margin, hospital stay, overall recurrence, 2-year DFS and 2-year OS (all P>0.05). CONCLUSION: The short- and long-term outcomes of LA-taTME and L-TME for the treatment of mid and low rectal cancer are comparable, while LA-taTME can reduce the ratio of incomplete mesorectum, positive rate of CRM, conversion rate, and morbidity of postoperative complication, and intraoperative blood loss.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.041
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.144
GPT teacher head0.388
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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