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Record W3090275049 · doi:10.1002/hed.26482

Outpatient vs inpatient parotidectomy: Systematic review and m<scp>eta‐analysis</scp>

2020· review· en· W3090275049 on OpenAlexaboutno aff
Daniel A. Benito, Luke J. Pasick, Daniel E. Bestourous, Punam Thakkar, Joseph Goodman, Arjun S. Joshi

Bibliographic record

VenueHead & Neck · 2020
Typereview
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSeromaHematomaOutpatient surgeryCochrane LibrarySurgeryMeta-analysisSystematic reviewFistulaParotidectomyGeneral surgeryMEDLINEComplicationAmbulatoryInternal medicineFacial nerve

Abstract

fetched live from OpenAlex

The primary aim of this study was to conduct a systematic review and meta-analysis to compare complications between outpatient vs inpatient parotidectomy. A systematic review was performed to identify patients undergoing either outpatient or inpatient partodiectomy, in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, using PUBMED, SCOPUS, CINAHL, and the Cochrane library. Risk of bias was assessed using the Newcastle-Ottawa Scale. Postoperative complications (hematoma, seroma/sialocele, salivary fistula formation, Frey syndrome, surgical site infection [SSI]) were compared. Our search yielded 4958 nonduplicate articles, of which 13 studies were ultimately included (11 retrospective cohort, 2 prospective cohort), encompassing a total of 1323 patients (outpatient 46.33% vs inpatient 53.67%). There was no significant difference in total complications, hematoma, seroma, salivary fistula, or SSI rates between outpatient and inpatient groups. No significant difference in total complications was found between outpatient and inpatient groups when stratified by surgical approach (partial/superficial and total parotidectomy). Our findings suggest outpatient parotidectomy may be as safe as inpatient parotidectomy in appropriately selected patients.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.044
GPT teacher head0.337
Teacher spread0.293 · 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 teacher head, not a consensus.

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

Citations16
Published2020
Admission routes1
Has abstractyes

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