Evidence map›Paper›PMID 31792986›Full record

ArticleJournal of surgical oncology2020

Simplified preoperative tool predicting discharge destination after major oncologic gastrointestinal surgery.

Rajesh Ramanathan, Caroline Rieser, Saba Kurtom, Salem Rustom, Revathy Subramany, Luke G Wolfe, Brian J Kaplan

Abstract read
In one paragraph

Article in Journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Ambulatory Surgery Ensemble: Predicting Adult and Pediatric Same-Day Surgery Cases Across Specialties.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  2. Article
  3. Article
  4. 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

7 authors.

Rajesh RamanathanDivision of Surgical Oncology, Banner MD Anderson Cancer Center, Gilbert, Arizona.ORCID http://orcid.org/0000-0002-8157-1598
Caroline RieserDepartment of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Saba KurtomDepartment of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia.
Salem RustomDepartment of Biostatistics, Virginia Commonwealth University, Richmond, Virginia.
Revathy SubramanyDepartment of Surgery, Thanjavur Medical College, Thanjavur, India.
Luke G WolfeDepartment of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia.
Brian J KaplanDepartment of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia.

Funding

Postdoctoral Research Training in Biotherapy of CancerT32CA113263 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Udai S Kammula · 2006 to 2026
$3.6M
NCI NIH HHS T32 CA113263
6 · The paper itself

Abstract

backgroundPreoperatively identifying patients who will require discharge to extended care facilities (ECFs) after major cancer surgery is valuable. This study compares existing models and derives a simple, preoperative tool for predicting discharge destination after major oncologic gastrointestinal surgery.

methodsThe American College of Surgeon National Surgical Quality Improvement datasets were used to evaluate existing risk stratification and frailty assessment tools between the years 2011 and 2015. A novel tool for predicting discharge to ECF was developed in the 2011-2015 dataset and subsequently validated in the 2016 dataset.

resultsMajor resections were analyzed for 61 683 malignancies: 6.9% esophagus, 5.3% stomach, 20.0% liver, 21.0% pancreas, and 46.8% colon/rectum. The overall ECF discharge rate was 9.1%. The American Society of Anesthesiologist score, 11-point modified frailty index (mFI), and 5-point abbreviated modified frailty index (amFI) demonstrated only moderate discrimination in predicting ECF discharge (c-statistic: 0.63-0.65). In contrast, our weighted cancer cancer abbreviated modified frailty index (camFI) score demonstrated improved discrimination with c-statistic of 0.73. The camFI displayed >90% negative predictive value for ECF discharge at every operative site.

conclusionThe camFI is a simple tool that can be used preoperatively to counsel patients on their risk of ECF discharge, and to identify patients with the least need for ECF discharge after major oncologic gastrointestinal surgery.

Indexed as

cancerfrailtynon-homeNSQIPrehabilitationskilled nursing

Identifiers

PMID31792986
PMCPMC8022226

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.