Evidence map›Paper›PMID 30868289›Full record

ReviewCurrent pain and headache reports2019

Enhanced Recovery for Breast Reconstruction Surgery.

Amir Elhassan, Ahmed Ahmed, Hamdy Awad, Michelle Humeidan, Richard D Urman, Carmen L Labrie-Brown, Elyse M Cornett, Alan David Kaye

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amir ElhassanDepartment of Anesthesiology, Ohio State University School of Medicine, Columbus, OH, USA.
Ahmed AhmedDepartment of Anesthesiology, Ohio State University School of Medicine, Columbus, OH, USA.
Hamdy AwadDepartment of Anesthesiology, Ohio State University School of Medicine, Columbus, OH, USA.
Michelle HumeidanDepartment of Anesthesiology, Ohio State University School of Medicine, Columbus, OH, USA.
Richard D UrmanDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Carmen L Labrie-BrownDepartment of Anesthesiology, LSU Health Science Center, 1542 Tulane Avenue, Suite 659, New Orleans, LA, 70112, USA.
Elyse M CornettDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA.
Alan David KayeDepartment of Anesthesiology, LSU Health Science Center, 1542 Tulane Avenue, Suite 659, New Orleans, LA, 70112, USA. akaye@lsuhsc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewEnhanced recovery pathways are a well-described perioperative healthcare program involving evidence-based interventions. Enhanced recovery is designed to standardize techniques such as drug selection and nerve blocks in order to speed recovery and reduce overall hospital costs. RECENT

findingsA PubMed literature search was performed for articles that included the terms enhanced recovery and breast reconstruction surgery. The present investigation summarizes enhanced recovery literature related to breast surgery with a focus on breast reconstruction. Enhanced recovery considerations discussed in this review include patient education, preadmission optimization, perforator flap planning, anesthetic techniques, optimized fasting, venous thrombosis prophylaxis, early mobilization, and antimicrobial prophylaxis.

Indexed as

MammaplastyFemaleHumansPatient-Centered CarePerioperative CareBreast surgeryEnhanced recovery after surgery (ERAS)Fast track recoveryPostoperative carePreoperative careSurgery

Identifiers

PMID30868289

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.