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Record W2891361766 · doi:10.1097/dcr.0000000000001123

Indocyanine Green Fluorescence Angiography and the Incidence of Anastomotic Leak After Colorectal Resection for Colorectal Cancer: A Meta-analysis

2018· review· en· W2891361766 on OpenAlexaboutno aff
Renhui Shen, Ye Zhang, Tong Wang

Bibliographic record

VenueDiseases of the Colon & Rectum · 2018
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsIndocyanine greenMedicineAnastomosisColorectal surgeryAbdominal surgeryLeakAngiographyColorectal cancerSurgeryRadiologyInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Anastomotic leak is a life-threatening complication of colorectal surgery. Recent studies showed that indocyanine green fluorescence angiography might be a method to prevent anastomotic leak. OBJECTIVE: The purpose of this study was to investigate whether intraoperative indocyanine green fluorescence angiography can reduce the incidence of anastomotic leak. DATA SOURCES: Potential relevant studies were identified from the following databases: PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure. STUDY SELECTION: This meta-analysis included comparative studies investigating the association between indocyanine green fluorescence angiography and anastomotic leak in patients undergoing surgery for colorectal cancer where the diagnosis of anastomotic leak was confirmed by CT and the outcomes of the indocyanine green group were compared with a control group. INTERVENTION: Indocyanine green was injected intravenously after the division of the mesentery and colon but before anastomosis. MAIN OUTCOME MEASURES: The Newcastle-Ottawa Scale was used to assess methodologic quality of the studies. ORs and 95% CIs were used to assess the association between indocyanine green and anastomotic leak. RESULTS: In 4 studies with a total sample size of 1177, comparing the number of anastomotic leaks in the indocyanine green and control groups, the ORs were 0.45 (95% CI, 0.18-1.12), 0.30 (95% CI, 0.03-2.98), 0.17 (95% CI, 0.01-3.69), and 0.12 (95% CI, 0.03-0.52). The combined OR was 0.27 (95% CI, 0.13-0.53). The difference was statistically significant (p < 0.001), and there was no significant heterogeneity (p = 0.48; I = 0). LIMITATIONS: Data could not be pooled because of the small number of studies; some differences between studies may influence the results. Also, the pooled data were not randomized. CONCLUSIONS: The result revealed that indocyanine green was associated with a lower anastomotic leakage rate after colorectal resection. However, larger, multicentered, high-quality randomized controlled trials are needed to confirm the benefit of indocyanine green fluorescence angiography.

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)0.011
metaresearch head score (Gemma)0.022
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: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.049
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.341
Teacher spread0.297 · 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
GenreReview

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".

Quick stats

Citations115
Published2018
Admission routes1
Has abstractyes

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