Evidence map›Paper›PMID 40332559›Full record

ArticleDiabetologia2025

Time in tight range and time in range for predicting the achievement of typical glucose management indicator and HbA

Seohyun Kim, Sang Ho Park, Jin A Lee, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim and 1 more

Abstract read
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In one paragraph

Article in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Seohyun KimDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang Ho ParkDepartment of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Jin A LeeDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
So Hyun ChoDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Rosa OhDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ji Yoon KimDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
You-Bin LeeDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Gyuri KimDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kyu Yeon HurDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jae Hyeon KimDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang-Man JinDivision of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. sangman.jin@samsung.com.

Funding

the Bio&Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) RS-2023-0026200
6 · The paper itself

Abstract

aims/hypothesisThis study aimed to compare the ability of time in tight range (TITR) and time in range (TIR) to predict the achievement of typical glucose management indicator (GMI) and HbA

methodsThis cross-sectional analysis included 773 adults with diabetes receiving insulin therapy who visited Samsung Medical Center between June 2019 and December 2023 and wore a Dexcom G6 or FreeStyle Libre continuous glucose monitor for at least 90 days (sensor wear time, ≥70%). A receiver operating characteristic analysis was used to compare the ability of TITR and TIR to predict GMI and HbA

resultsTITR had significantly greater AUC values than TIR for predicting GMIs of <53 mmol/mol (7.0%) and <48 mmol/mol (6.5%) among participants using a Dexcom G6 or FreeStyle Libre continuous glucose monitor. TITR also had significantly greater AUC values than TIR for predicting HbA CONCLUSIONS/

interpretationTITR might be a more useful indicator than TIR of the achievement of typical GMI and HbA

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Glycated HemoglobinAdultAgedBlood Glucose Self-MonitoringCross-Sectional StudiesFemaleGlycemic ControlHumansHypoglycemic AgentsInsulinMaleMiddle AgedBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulinContinuous glucose monitoringGlucose management indicatorHbA1cTime in rangeTime in tight range

Identifiers

What OpenQuestion holds

Textmetadata
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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.