Evidence map›Paper›PMID 34244734›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2021

Achieving the HbA1c Target Requires Longer Time in Range in Pregnant Women With Type 1 Diabetes.

Ping Ling, Daizhi Yang, Nan Gu, Xinhua Xiao, Jing Lu, Fang Liu, Zhiguang Zhou, Qin Huang, Jiajun Zhao, Mei Zhang and 5 more

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Review
  4. Observational
  5. Review
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

15 authors at 11 institutions in 1 country.

Ping LingDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0002-9889-5812
Daizhi YangDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Nan GuDepartment of Endocrinology and Metabolism, Peking University First Hospital, Beijing 100034, China.
Xinhua XiaoDepartment of Endocrinology and Metabolism, Peking Union Medical College Hospital, Beijing 100005, China.
Jing LuDepartment of Endocrinology and Metabolism, Nanjing Drum Tower Hospital, Nanjing 210008, China.
Fang LiuDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
Zhiguang ZhouDepartment of Endocrinology and Metabolism, The Second Xiangya Hospital of Central University, Changsha 410007, China.ORCID 0000-0002-0374-1838
Qin HuangDepartment of Endocrinology and Metabolism, Changhai Hospital, Shanghai 200433, China.
Jiajun ZhaoDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital, Jinan 250021, China.
Mei ZhangDepartment of Endocrinology and Metabolism, Jiangsu Province Hospital, Nanjing 210029, China.
Ji HuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Sihui LuoDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
Jianping WengDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0002-7889-1697
Jinhua YanDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID 0000-0001-6392-1163
Xueying ZhengDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0001-8395-9476
University of Science and Technology of China · CNSun Yat-sen University · CNCentral South University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Province Hospital · CNNanjing Drum Tower Hospital · CNPeking University · CNSecond Military Medical University · CNShandong Provincial Hospital · CNShanghai Jiao Tong University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextContinuous glucose monitoring (CGM) overcomes the limitations of glycated hemoglobin (HbA1c).

objectiveThis study aimed to investigate the relationship between CGM metrics and laboratory HbA1c in pregnant women with type 1 diabetes.

methodsAn observational study enrolled pregnant women with type 1 diabetes who wore CGM devices during pregnancy and postpartum from 11 hospitals in China from January 2015 to June 2019. CGM data were collected to calculate time in range (TIR), time above range (TAR), time below range (TBR), and glycemic variability parameters. Relationships between the CGM metrics and HbA1c were explored. Linear and curvilinear regressions were conducted to investigate the best-fitting model to clarify the influence of HbA1c on the TIR-HbA1c relationship during pregnancy.

resultsA total of 272 CGM data and corresponding HbA1c from 98 pregnant women with type 1 diabetes and their clinical characteristics were analyzed in this study. Mean HbA1c and TIR were 6.49 ± 1.29% and 76.16 ± 17.97% during pregnancy, respectively. HbA1c was moderately correlated with TIR3.5-7.8(R = -0.429, P = .001), mean glucose (R = 0.405, P = .001) and TAR7.8 (R = 0.435, P = .001), but was weakly correlated with TBR3.5 (R = 0.034, P = .001) during pregnancy. On average, a 1% (11 mmol/mol) decrease in HbA1c corresponded to an 8.5% increase in TIR3.5-7.8. During pregnancy, HbA1c of 6.0%, 6.5%, and 7.0% were equivalent to a TIR3.5-7.8 of 78%, 74%, and 69%, respectively.

conclusionWe found there was a moderate correlation between HbA1c and TIR3.5-7.8 during pregnancy. To achieve the HbA1c target of less than 6.0%, pregnant women with type 1 diabetes should strive for a TIR3.5-7.8 of greater than 78% (18 hours 43 minutes) during pregnancy.

Indexed as

AdultBlood GlucoseBlood Glucose Self-MonitoringChinaDiabetes Mellitus, Type 1FemaleGestational AgeGlycated HemoglobinGlycemic ControlHumansPostpartum PeriodPregnancyPregnancy in DiabeticsTime FactorsBlood GlucoseGlycated Hemoglobindiabetes mellitusglycated hemoglobin A1cpregnancytime in rangetype 1

Identifiers

PMID34244734
PMCPMC8530704
OpenAlexW3181111779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.