Evidence map›Paper›PMID 28060831›Full record

Observational studyPloS one2017

Using Automated HbA1c Testing to Detect Diabetes Mellitus in Orthopedic Inpatients and Its Effect on Outcomes.

Elif I Ekinci, Alvin Kong, Leonid Churilov, Natalie Nanayakkara, Wei Ling Chiu, Priya Sumithran, Frida Djukiadmodjo, Erosha Premaratne, Elizabeth Owen-Jones, Graeme Kevin Hart and 5 more

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Elif I EkinciUniversity of Melbourne, Department of Medicine, Austin Health, Melbourne, Australia.
Alvin KongUniversity of Melbourne, Department of Medicine, Austin Health, Melbourne, Australia.
Leonid ChurilovThe Florey Institute of Neuroscience & Mental Health, Melbourne, Australia.
Natalie NanayakkaraDepartment of Endocrinology, Austin Health, Melbourne, Australia.
Wei Ling ChiuDepartment of Endocrinology, Austin Health, Melbourne, Australia.
Priya SumithranUniversity of Melbourne, Department of Medicine, Austin Health, Melbourne, Australia.
Frida DjukiadmodjoDepartment of Endocrinology, Austin Health, Melbourne, Australia.
Erosha PremaratneDepartment of Endocrinology, Austin Health, Melbourne, Australia.
Elizabeth Owen-JonesAustin Centre for Applied Clinical Informatics, Austin Health, Melbourne, Australia.
Graeme Kevin HartDepartment of Intensive Care, Austin Health, Melbourne, Australia.
Raymond RobbinsAustin Centre for Applied Clinical Informatics, Austin Health, Melbourne, Australia.
Andrew HardidgeDepartment of Orthopaedic Surgery, Austin Health, Melbourne, Australia.
Douglas JohnsonDepartment of General Medicine, Austin Health, Melbourne, Australia.
Scott T BakerDepartment of Endocrinology, Austin Health, Melbourne, Australia.
Jeffrey D ZajacUniversity of Melbourne, Department of Medicine, Austin Health, Melbourne, Australia.
Austin Health · AUFlorey Institute of Neuroscience and Mental Health · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe prevalence of diabetes is rising, and people with diabetes have higher rates of musculoskeletal-related comorbidities. HbA1c testing is a superior option for diabetes diagnosis in the inpatient setting. This study aimed to (i) demonstrate the feasibility of routine HbA1c testing to detect the presence of diabetes mellitus, (ii) to determine the prevalence of diabetes in orthopedic inpatients and (iii) to assess the association between diabetes and hospital outcomes and post-operative complications in orthopedic inpatients.

methodsAll patients aged ≥54 years admitted to Austin Health between July 2013 and January 2014 had routine automated HbA1c measurements using automated clinical information systems (CERNER). Patients with HbA1c ≥6.5% were diagnosed with diabetes. Baseline demographic and clinical data were obtained from hospital records.

resultsOf the 416 orthopedic inpatients included in this study, 22% (n = 93) were known to have diabetes, 4% (n = 15) had previously unrecognized diabetes and 74% (n = 308) did not have diabetes. Patients with diabetes had significantly higher Charlson comorbidity scores compared to patients without diabetes (median, IQR; 1 [0,2] vs 0 [0,0], p<0.001). After adjusting for age, gender, comorbidity score and estimated glomerular filtration rate, no significant differences in the length of stay (IRR = 0.92; 95%CI: 0.79-1.07; p = 0.280), rates of intensive care unit admission (OR = 1.04; 95%CI: 0.42-2.60, p = 0.934), 6-month mortality (OR = 0.52; 95%CI: 0.17-1.60, p = 0.252), 6-month hospital readmission (OR = 0.93; 95%CI: 0.46-1.87; p = 0.828) or any post-operative complications (OR = 0.98; 95%CI: 0.53-1.80; p = 0.944) were observed between patients with and without diabetes.

conclusionsRoutine HbA1c measurement using CERNER allows for rapid identification of inpatients admitted with diabetes. More than one in four patients admitted to a tertiary hospital orthopedic ward have diabetes. No statistically significant differences in the rates of hospital outcomes and post-operative complications were identified between patients with and without diabetes.

Indexed as

Orthopedic ProceduresAutomationDiabetes ComplicationsDiabetes MellitusDiagnostic Tests, RoutineFeasibility StudiesFemaleGlycated HemoglobinHospitalizationHumansInpatientsMaleMiddle AgedOutcome Assessment, Health CarePrevalenceProspective StudiesGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID28060831
PMCPMC5218571
OpenAlexW2570215430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.