Evidence map›Paper›PMID 29750681›Full record

ArticleMedical care2018

Predischarge and Postdischarge Risk Factors for Hospital Readmission Among Patients With Diabetes.

Abhijana Karunakaran, Huaqing Zhao, Daniel J Rubin

Abstract read
In one paragraph

Article in Medical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
–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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  7. Nomogram Predicting 90-Day Readmission in Patients with Diabetes: A Prospective Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
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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

3 authors.

Abhijana KarunakaranLewis Katz School of Medicine at Temple University, Section of Endocrinology, Diabetes, and Metabolism.
Huaqing ZhaoDepartment of Clinical Sciences, Temple Clinical Research Institute, Lewis Katz School of Medicine at Temple University, Philadelphia, PA.
Daniel J RubinLewis Katz School of Medicine at Temple University, Section of Endocrinology, Diabetes, and Metabolism.

Funding

Predicting and Preventing Hospital Readmission in Patients with Diabetes and CVDK23DK102963 · NIDDK · TEMPLE UNIV OF THE COMMONWEALTH · PI RUBIN, DANIEL J · 2015 to 2018
$713k
NIDDK NIH HHS K23 DK102963
6 · The paper itself

Abstract

backgroundHospital readmission within 30 days of discharge (30-d readmission) is an undesirable outcome. Readmission of patients with diabetes is common and costly. Most of the studies that have examined readmission risk factors among diabetes patients did not include potentially important clinical data.

objectivesTo provide a more comprehensive understanding of 30-day readmission risk factors among patients with diabetes based on predischarge and postdischarge data. RESEARCH

designIn this retrospective cohort study, 48 variables were evaluated for association with readmission by multivariable logistic regression. SUBJECTS: In total, 17,284 adult diabetes patients with 44,203 hospital discharges from an urban academic medical center between January 1, 2004 and December 1, 2012. MEASURES: The outcome was all-cause 30-day readmission. Model performance was assessed by c-statistic.

resultsThe 30-day readmission rate was 20.4%, and the median time to readmission was 11 days. A total of 27 factors were statistically significant and independently associated with 30-day readmission (P<0.05). The c-statistic was 0.82. The strongest risk factors were lack of a postdischarge outpatient visit within 30 days, hospital length-of-stay, prior discharge within 90 days, discharge against medical advice, sociodemographics, comorbidities, and admission laboratory values. A diagnosis of hypertension, preadmission sulfonylurea use, admission to an intensive care unit, sex, and age were not associated with readmission in univariate analysis.

conclusionsThere are numerous risk factors for 30-day readmission among patients with diabetes. Postdischarge factors add to the predictive accuracy achieved by predischarge factors. A better understanding of readmission risk may ultimately lead to lowering that risk.

Indexed as

ComorbidityAgedAged, 80 and overDiabetes MellitusFemaleHospitalizationHumansLength of StayMaleMiddle AgedPatient DischargePatient ReadmissionRetrospective StudiesRisk Factors

Identifiers

PMID29750681
PMCPMC6082658

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.