Evidence map›Paper›PMID 36118378›Full record

ArticleIndian journal of surgical oncology2017

Preoperative Risk Factors for 30-Day Reoperation in Patients Undergoing Hepatic Resections for Malignancy.

Jeffrey Douaiher, Tanvir Hussain, Mashaal Dhir, Lynette Smith, Chandrakanth Are

Open access · greenAbstract read
In one paragraph

Article in Indian journal of surgical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Jeffrey DouaiherDepartment of Surgery Omaha, University of Nebraska Medical Center, Omaha, NE 68198 USA.
Tanvir HussainDepartment of Medicine, Division of General Internal Medicine, University of Nebraska Medical Center, Omaha, NE USA.
Mashaal DhirDepartment of Surgery, Division of Surgical Oncology, University of Pittsburgh Medical Center, Pittsburgh, PA USA.
Lynette SmithDepartment of Biostatistics, College of Public Health Omaha, University of Nebraska Medical Center, Omaha, NE USA.
Chandrakanth AreDepartment of Surgery Omaha, University of Nebraska Medical Center, Omaha, NE 68198 USA.
University of Nebraska Medical Center · USUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although hepatic resections are safe, reoperation within 30 days after the index operation continues to be a serious adverse event. This study identifies preoperative risk factors predictive of reoperation following hepatic resection for malignancy. Using appropriate CPT codes, all patients undergoing liver resection were extracted from the American College of Surgeons-National Surgical Quality Improvement Program (NSQIP) Participant Use Files between years 2005 and 2010. Subsets of patients with malignancies of the liver were identified using ICD-9 diagnosis. Primary outcome of the study was 30-day reoperations. Preoperative patient characteristics were compared by reoperations within 30 days through both univariate analysis and multivariate logistic regression. A total of 4812 patients who underwent hepatic resections for malignancy were extracted. Overall mortality and morbidity rates were 2.7 and 28.2 %, respectively. Multivariate logistic regression showed association between return to operating room and male gender (OR = 1.58,

Indexed as

Hepatic resectionMorbidity and mortalityOutcomesReoperation

Identifiers

PMID36118378
PMCPMC9478045
OpenAlexW2515929258

What OpenQuestion holds

Textmetadata
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.