Evidence map›Paper›PMID 28923559›Full record

ArticleThe Journal of surgical research2017

The independent effect of cancer on outcomes: a potential limitation of surgical risk prediction.

Ira L Leeds, Joseph K Canner, Jonathan E Efron, Nita Ahuja, Elliott R Haut, Elizabeth C Wick, Fabian M Johnston

Abstract readComparative Study
In one paragraph

Article in The Journal of surgical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Surgical Treatment of Distal Cholangiocarcinoma.Current oncology (Toronto, Ont.) · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Postoperative Outcomes Following Elective Surgery in India.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. 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 at 1 institution in 1 country.

Ira L LeedsDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Joseph K CannerDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jonathan E EfronDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Nita AhujaDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Elliott R HautDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Elizabeth C WickDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Fabian M JohnstonDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: fjohnst4@jhmi.edu.
Johns Hopkins University · US

Funding

Clinical and Laboratory Research Training for Surgical OncologistsT32CA126607 · NCI · JOHNS HOPKINS UNIVERSITY · PI CAMERON, ANDREW M. · 2008 to 2024
$6.0M
Promoting Early Utilization of Palliative Care for African Americans Using Culturally Informed Patient NavigationK08HS024736 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI JOHNSTON, FABIAN M · 2016 to 2020
$738k
AHRQ HHS K08 HS024736NCI NIH HHS L30 CA220744NCI NIH HHS T32 CA126607
6 · The paper itself

Abstract

backgroundCancer patients are often thought to have worse surgical outcomes. There is a growing view that risk models do not adequately predict these outcomes. This study aims to compare the use of common risk models for benign versus malignant gastrointestinal disease. MATERIALS AND

methodsThe National Surgical Quality Improvement Program (NSQIP) 2005-2015 participant use files were queried for patients undergoing elective surgery for benign and malignant diseases with a primary procedure code for major colon, pancreas, or stomach resection. Multivariable logistic regression was performed to identify independent predictors of mortality and morbidity.

resultsWe identified 264,401 cases (111,563 malignant). The gastrointestinal cancer population was disproportionately male, older than 65, nonwhite, and less functionally independent. Comorbidities more common in the cancer population included diabetes, hypertension, dyspnea, and chronic obstructive pulmonary disease. Cancer patients had a longer length of stay (+0.9 days), higher mortality rate (1.7% versus 1.1%), and higher complication rate (27.4% versus 23.2%). NSQIP prediction models for complications in cancer versus noncancer patients underperformed for predicting mortality (P < 0.001). Multivariable regression demonstrated that a diagnosis of cancer requiring surgery independently conferred an 18% increased odds of death, a 9% increased odds of a complication, and an 8% increased odds of multiple complications compared to patients with benign disease.

conclusionsNSQIP prediction models less effectively evaluate the risk of death in cancer patients as compared to patients with benign disease. A diagnosis of cancer is independently associated with an increased risk of surgical complications. Incorporating cancer diagnosis into surgical risk models may better inform patient and surgeon expectations.

Indexed as

AgedAged, 80 and overDigestive System Surgical ProceduresFemaleGastrointestinal NeoplasmsHumansMaleMiddle AgedRisk AssessmentUnited StatesLogistic regressionMorbidityNeoplasmsOutcomes assessmentRiskSurgery

Identifiers

PMID28923559
PMCPMC5712450
OpenAlexW2755684551

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.