Evidence map›Paper›PMID 34888676›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Unmasking Fracture Risk in Type 2 Diabetes: The Association of Longitudinal Glycemic Hemoglobin Level and Medications.

Bowen Wang, Zehai Wang, Atharva A Poundarik, Mohammed J Zaki, Richard S Bockman, Benjamin S Glicksberg, Girish N Nadkarni, Deepak Vashishth

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 36 citations in OpenAlex.

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  8. F2-Isoprostanes Are Associated With Increased Fracture Risk in Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2025
    Observational
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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

8 authors at 3 institutions in 1 country.

Bowen WangCenter for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0003-0049-1623
Zehai WangCenter for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Atharva A PoundarikCenter for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Mohammed J ZakiDepartment of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Richard S BockmanDivision of Endocrinology and Metabolic Bone Disease, Hospital for Special Surgery, New York, NY 10021, USA.
Benjamin S GlicksbergDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Girish N NadkarniDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Deepak VashishthCenter for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0001-5712-0167
Rensselaer Polytechnic Institute · USIcahn School of Medicine at Mount Sinai · USHospital for Special Surgery · US

Funding

Effect of Glycemic Control on Diabetic Bone FractureR21AR071681 · NIAMS · RENSSELAER POLYTECHNIC INSTITUTE · PI VASHISHTH, DEEPAK · 2018 to 2019
$360k
NIAMS NIH HHS R21 AR071681
6 · The paper itself

Abstract

contextFracture risk is underestimated in people with type 2 diabetes (T2D).

objectiveTo investigate the longitudinal relationship of glycated hemoglobin (HbA1c) and common medications on fracture risk in people with T2D.

methodsThis retrospective population-based cohort study was conducted using de-identified claims and electronic health record data obtained from the OptumLabs Data Warehouse for the period January 1, 2007, to September 30, 2015. For each individual, the study was conducted within a 2-year HbA1c observation period and a 2-year fracture follow-up period. A cohort of 157 439 individuals with T2D [age ≥ 55 years with mean HbA1c value ≥ 6%] were selected from 4 018 250 US Medicare Advantage/Commercial enrollees with a T2D diagnosis. All fractures and fragility fractures were measured.

resultsWith covariates adjusted, poor glycemic control in T2D individuals was associated with an 29% increase of all fracture risk, compared with T2D individuals who had adequate glycemic control (HR: 1.29; 95% CI, 1.22-1.36). Treatment with metformin (HR: 0.88; 95% CI, 0.85-0.92) and DPP4 inhibitors (HR: 0.93; 95% CI, 0.88-0.98) was associated with a reduced all fracture risk, while insulin (HR: 1.26; 95% CI, 1.21-1.32), thiazolidinediones (HR: 1.23; 95% CI, 1.18-1.29), and meglitinides (HR: 1.12; 95% CI, 1.00-1.26) were associated with an increased all fracture risk (All P value < 0.05). Bisphosphonates were associated similarly with increased fracture risk in the T2D and nondiabetic groups.

conclusionLongitudinal 2-year HbA1c is independently associated with elevated all fracture risk in T2D individuals during a 2-year follow-up period. Metformin and DPP4 inhibitors can be used for management of T2D fracture risk.

Indexed as

Diabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsFractures, BoneMetforminAgedBlood GlucoseCohort StudiesGlycated HemoglobinHemoglobinsHumansHypoglycemic AgentsMedicareMiddle AgedRetrospective StudiesUnited StatesBlood GlucoseDipeptidyl-Peptidase IV InhibitorsGlycated HemoglobinHemoglobinsHypoglycemic AgentsMetforminbisphosphonatesfracture riskHbA1cmetforminT2D

Identifiers

PMID34888676
PMCPMC8947783
OpenAlexW4200004260

What OpenQuestion holds

Texttitle and abstract
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.