Hope for the best, but prepare for the worst – Diagnostic accuracy of the American College of Surgeons National Surgical Quality Improvement Program – Risk model for patients undergoing abdominoplasty after massive weight loss – Results from a Retros

Authors

Rima Nuwayhid (ORCID: https://orcid.org/0000-0001-7587-1968)
Torsten Schulz (ORCID: https://orcid.org/0000-0001-8547-9425)
Stefan Langer
Toralf Kirsten

Institutions

University Hospital Leipzig (DE)

Publication Details

Journal: JPRAS Open
Published: 2024-12-11
DOI: https://doi.org/10.1016/j.jpra.2024.12.002
Citations: 2
Primary Topic: Cardiac, Anesthesia and Surgical Outcomes
Type: article
Field-Weighted Citation Impact: 0.80

Funders

Universität Leipzig
Medizinische Fakultät, Universität Leipzig

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Hope for the best, but prepare for the worst – Diagnostic accuracy of the American College of Surgeons National Surgical Quality Improvement Program – Risk model for patients undergoing abdominoplasty after massive weight loss – Results from a Retros

Rima Nuwayhid, Torsten Schulz, Stefan Langer, Toralf Kirsten

Dec 11, 2024

2 citations

JPRAS Open

Cardiac, Anesthesia and Surgical Outcomes

0.80

article

Hope for the best, but prepare for the worst – Diagnostic accuracy of the American College of Surgeons National Surgical Quality Improvement Program – Risk model for patients undergoing abdominoplasty after massive weight loss – Results from a Retros

Rima Nuwayhid, Torsten Schulz, Stefan Langer, Toralf Kirsten

December 11, 2024article en

2 citations

Abstract

No abstract available for this paper.

JPRAS OpenVol. 43

University Hospital Leipzig (DE)

Universität Leipzig, Medizinische Fakultät, Universität Leipzig

Openalex Percentile: Top 22%

Cardiac, Anesthesia and Surgical Outcomes

0.80

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.