Evidence map›Paper›PMID 36583027›Full record

ArticleJournal of pancreatic cancer2022

Do-Not-Resuscitate Orders and Outcomes for Patients with Pancreatic Cancer.

Qiang Hao, Joel E Segel, Niraj J Gusani, Christopher S Hollenbeak

Open access · goldAbstract read
In one paragraph

Article in Journal of pancreatic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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

4 authors at 1 institution in 1 country.

Qiang HaoDepartment of Health Policy and Administration, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-4760-3517
Joel E SegelDepartment of Health Policy and Administration, Pennsylvania State University, University Park, Pennsylvania, USA.
Niraj J GusaniDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania, USA.
Christopher S HollenbeakDepartment of Health Policy and Administration, Pennsylvania State University, University Park, Pennsylvania, USA.
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of the do-not-resuscitate (DNR) order on patients with pancreatic cancer remains uncertain. In this study, we evaluated whether DNR status was associated with in-hospital mortality and costs for inpatient stay among patients hospitalized with pancreatic cancer. Methods: Data were obtained from the National Inpatient Sample, Healthcare Cost and Utilization Project, which represents ∼20% of all discharges from US community hospitals; 40,246 pancreatic cancer admissions between 2011 and 2016 were included. Mortality was modeled using a logistic regression model; costs for inpatient stay were modeled using a multivariable generalized linear regression model. Results: The sample included 6041 (15%) patients with a documented DNR order. After controlling for covariates, patients with a DNR order had approximately six times greater odds of mortality compared with patients without a DNR order (odds ratio 5.90, Conclusions: The presence of a DNR order among patients with pancreatic cancer was significantly associated with higher mortality risk as well as lower costs for patients who died during the hospital stay. However, DNR status was not significantly associated with costs for pancreatic cancer patients who were discharged alive.

Indexed as

costdo-not-resuscitate ordermortalitypancreatic cancer

Identifiers

PMID36583027
PMCPMC9786086
OpenAlexW4302307753

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.