MétaCan
Menu
Back to cohort
Record W4307377301 · doi:10.21037/ls-22-15

Laparoscopic approaches to adrenalectomy for large adrenal tumours: a systematic review

2022· review· en· W4307377301 on OpenAlexaboutno aff
Benji Varghese, Zia Moinuddin, Titus Augustine

Bibliographic record

VenueLaparoscopic Surgery · 2022
Typereview
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAdrenalectomyPerioperativeGold standard (test)SurgeryBlood lossBlood transfusionGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: Laparoscopic adrenalectomy (LA) is considered the gold standard for benign, smaller secretory and non-secretory adrenal tumours. There is controversy however about its role for large tumors. In this review, we present the latest evidence on the feasibility of LA for large tumors and analyze the perioperative outcomes. Methods: Using PubMed database, we searched for relevant articles on LA for large tumors published between January 2010 and December 2021. These were scrutinized by two reviewers. Newcastle-Ottawa scale was used to assess the quality of the studies. Studies comparing robotic adrenalectomy with LA, duplicate data in multiple publications, case reports and articles focused on surgical technique or predictive factors were excluded. The outcomes analyzed included operative time, blood loss, surgical complications, average length of hospital stay, conversion to open surgery & tumor recurrence. A database was created on Microsoft ExcelTM. This is an unregistered systematic review. Results: A total of 15 suitable studies were identified. Retroperitoneal laparscopic adrenalectomy (RPLA) or transperitoneal laparoscopic adrenalectomy (TPLA) was found to be safe and effective for large tumours (≥5 cm) when compared to open adrenalectomy (OA). RPLA had shorter operative time, quicker return of bowel function and shorter length of hospital stay when compared to TPLA and OA. Hand assisted LA (HALA) discussed in one study concluded that complication rates were higher than TPLA but lower than OA. However, open conversion in HALA was lower compared to other TPLA studies. Conclusions: LA can be considered for large (≥5 cm) and potentially malignant tumors if the operators have the required technical skills and strict oncological principles are followed. The procedure should ideally be converted to open surgery if local invasion is suspected intraoperatively with potentially compromised resection margins. HALA is an excellent compromise in large tumours with anatomical and technical challenges. Limitations of this study include small sample size and limited number of well constructed prospective studies.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0080.009
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.207
GPT teacher head0.345
Teacher spread0.138 · 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 designSystematic review
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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueLaparoscopic SurgerySame topicAdrenal and Paraganglionic TumorsFrench-language works237,207