Evidence map›Paper›PMID 27833511›Full record

ArticleInternational journal of health sciences2016

Patient Risk Factors for Mechanical Wound Complications and Postoperative Infections after Elective Open Intestinal Resection.

Wei Chao Chang, Akiva Turner, Michael Imon, Anthony Dyda

Open access · diamondAbstract read
In one paragraph

Article in International journal of health sciences, 2016. 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
–field-weighted citation impact, top 83% 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, 1 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Wei Chao ChangDepartment of Surgery, MedStar Good Samaritan Hospital, Baltimore, Maryland, U.S.A.
Akiva TurnerDepartment of Health Science, College of Health Care Sciences, Nova Southeastern University, Fort Lauderdale, Florida, U.S.A.
Michael ImonDepartment of Anesthesia, College of Health Care Sciences, Nova Southeastern University, Fort Lauderdale, Florida, U.S.A.
Anthony DydaDepartment of Health Science, College of Health Care Sciences, Nova Southeastern University, Fort Lauderdale, Florida, U.S.A.
Nova Southeastern University · USMedStar Good Samaritan Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies focused on the construction of preoperative patient surgical risk profile using only patients' personal, social history, and comorbidity profiles.

objectiveTo identify risk factors for mechanical wound complications and postoperative infections in patients' preoperative profiles.

designQuantitative retrospective cohort study using 2009-2011 Health Care Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) databases. PATIENTS: 56,853 patients who underwent elective open intestinal resection. MEASUREMENTS: Predictors of mechanical wound complications and postoperative infections in patients' personal, social history, and comorbidity profiles.

resultsPatients age 18-39 were more likely to suffer mechanical wound complications compared to patients age 65-79 (OR = 1.9, 95% CI [1.5, 2.4],

conclusionsIndividual patient risk profile can be constructed using preoperative patient profiles for improving perioperative care coordination and patient care quality. Postoperative infections were associated with mechanical wound complications in patients undergoing elective open intestinal resection.

Indexed as

mechanical wound complicationspatient risk profilingpostoperative infectionspreoperative patient profilessurgical risk profile

Identifiers

PMID27833511
PMCPMC5085341
OpenAlexW2529837077

What OpenQuestion holds

Textmetadata
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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.