Evidence map›Paper›PMID 36634979›Full record

ArticleBMJ open diabetes research & care2023

Identification and characterization of novel carboxyl ester lipase gene variants in patients with different subtypes of diabetes.

Huixiao Wu, Meng Shu, Changmei Liu, Wanyi Zhao, Qiu Li, Yuling Song, Ting Zhang, Xinyu Chen, Yingzhou Shi, Ping Shi and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Novel variation in theFrontiers in endocrinology · 2026
    Review
  3. Article
  4. Article
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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

13 authors at 2 institutions in 1 country.

Huixiao Wu *Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Meng Shu *Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-6725-3497
Changmei LiuDepartment of Endocrinology, Affiliated Hospital of Binzhou Medical College, Binzhou, Shandong, China.
Wanyi ZhaoDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qiu LiDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yuling SongDepartment of Endocrinology, Affiliated Hospital of Binzhou Medical College, Binzhou, Shandong, China.
Ting ZhangDepartment of Endocrinology, Affiliated Hospital of Binzhou Medical College, Binzhou, Shandong, China.
Xinyu ChenDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yingzhou ShiDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Ping ShiDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Li FangDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Runbo WangDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Chao XuDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China doctorxuchao@163.com.ORCID 0000-0001-6743-8881
Shandong University · CNBinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMutations of RESEARCH DESIGN AND

methodsAll five patients enrolled in our study were admitted to Shandong Provincial Hospital and diagnosed with diabetes in the past year. Whole-exome sequencing was performed to identify pathogenic variants in three patients with MODY-like diabetes, one newborn baby with T1D and one patient with atypical T2D, as well as their immediate family members. Then the consequences of the identified variants were predicted by bioinformatic analysis. Furthermore, pathogenic effects of two novel

resultsFive novel heterozygous variants were identified in

conclusionOur study identified five novel

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2CarboxylesteraseEstersHEK293 CellsHumansInfant, NewbornLipaseCarboxylesteraseEstersLipaseClinical MedicineDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to Disease

Identifiers

PMID36634979
PMCPMC9843195
OpenAlexW4315780151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.