Evidence map›Paper›PMID 27732098›Full record

ArticleEndocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists2016

DEVELOPMENT AND VALIDATION OF A NOVEL TOOL TO PREDICT HOSPITAL READMISSION RISK AMONG PATIENTS WITH DIABETES.

Daniel J Rubin, Elizabeth A Handorf, Sherita Hill Golden, Deborah B Nelson, Marie E McDonnell, Huaqing Zhao

2 registry-linked trialsAbstract readValidation Study
In one paragraph

Article in Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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.

NCT03243383 nacompletednot on this mapstarted 2017, after this paper: background citation

A Pilot Trial to Prevent Hospital Readmission of Patients With Diabetes

TypeinterventionalSponsorTemple UniversityRan2017 to 2019Enrolled263ConditionsDiabetes MellitusArmsDiaTOHC Program
NCT03424382 completednot on this mapstarted 2017, after this paper: background citation

CREATION Health Readmission Risk Assessment Tool

TypeobservationalSponsorAdventHealthRan2017 to 2019Enrolled1,218ConditionsHeart Failure, COPD, Myocardial Infarction, Coronary Artery Bypass Graft
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  6. 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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  8. Review
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  15. Observational
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  18. Review
  19. Patient Understanding of Discharge Instructions for Home Diabetes Self-Management and Risk for Hospital Readmission and Emergency Department Visits.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2021
    Article
  20. 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

6 authors.

Daniel J Rubin
Elizabeth A Handorf
Sherita Hill Golden
Deborah B Nelson
Marie E McDonnell
Huaqing Zhao

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

objectiveTo develop and validate a tool to predict the risk of all-cause readmission within 30 days (30-d readmission) among hospitalized patients with diabetes.

methodsA cohort of 44,203 discharges was retrospectively selected from the electronic records of adult patients with diabetes hospitalized at an urban academic medical center. Discharges of 60% of the patients (n = 26,402) were randomly selected as a training sample to develop the index. The remaining 40% (n = 17,801) were selected as a validation sample. Multivariable logistic regression with generalized estimating equations was used to develop the Diabetes Early Readmission Risk Indicator (DERRI

resultsTen statistically significant predictors were identified: employment status; living within 5 miles of the hospital; preadmission insulin use; burden of macrovascular diabetes complications; admission serum hematocrit, creatinine, and sodium; having a hospital discharge within 90 days before admission; most recent discharge status up to 1 year before admission; and a diagnosis of anemia. Discrimination of the model was acceptable (C statistic 0.70), and calibration was good. Characteristics of the validation and training samples were similar. Performance of the DERRI

conclusionThe DERRI ABBREVIATIONS: DERRI

Indexed as

Diagnostic Techniques, EndocrineModels, StatisticalPatient ReadmissionAdolescentAdultAgedAged, 80 and overDiabetes MellitusFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID27732098
PMCPMC5104276

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.