Evidence map›Paper›PMID 35668892›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2022

Characterization of Symptoms and Symptom Clusters for Type 2 Diabetes Using a Large Nationwide Electronic Health Record Database.

Veronica Brady, Meagan Whisenant, Xueying Wang, Vi K Ly, Gen Zhu, David Aguilar, Hulin Wu

Open access · hybridAbstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. The role of glycemic control and symptoms and symptom clusters in breast cancer survivors with type 2 diabetes.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Marmelosin Protects Against Metabolic Disturbances in High-Fat Diet and Streptozotocin-Induced Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  8. Article
  9. Automated Type 2 Diabetes Case and Control Identification from the MIMIC-IV Database.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    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

7 authors at 1 institution in 1 country.

Veronica Brady *Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX.
Meagan Whisenant *Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX.
Xueying Wang *School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.
Vi K LySchool of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.
Gen ZhuSchool of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.
David AguilarMcGovern School of Medicine, The University of Texas Health Science Center at Houston, Houston, TX.ORCID https://orcid.org/0000-0002-0916-2722
Hulin WuSchool of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.ORCID https://orcid.org/0000-0002-5809-5407
The University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA variety of symptoms may be associated with type 2 diabetes and its complications. Symptoms in chronic diseases may be described in terms of prevalence, severity, and trajectory and often co-occur in groups, known as symptom clusters, which may be representative of a common etiology. The purpose of this study was to characterize type 2 diabetes-related symptoms using a large nationwide electronic health record (EHR) database. Methods: We acquired the Cerner Health Facts, a nationwide EHR database. The type 2 diabetes cohort ( Results: Patients had a mean age of 61.4 years, 51.2% were female, and 70.0% were White. Among 1,136,301 patients, there were 8,008,276 occurrences of 59 symptoms. The most frequently reported symptoms included pain, heartburn, shortness of breath, fatigue, and swelling, which occurred in 21-60% of the patients. We also observed over-represented type 2 diabetes symptoms, including difficulty speaking, feeling confused, trouble remembering, weakness, and drowsiness/sleepiness. Some of these are rare and difficult to detect by traditional patient-reported outcomes studies. Conclusion: To the best of our knowledge, this is the first study to use a nationwide EHR database to characterize type 2 diabetes-related symptoms and their temporal patterns. Fifty-nine symptoms, including both over-represented and rare diabetes-related symptoms, were identified.

Identifiers

PMID35668892
PMCPMC9160545
OpenAlexW4206470096

What OpenQuestion holds

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Registered trials

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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.