Evidence map›Paper›PMID 33013711›Full record

ArticleFrontiers in endocrinology2020

Leweihua Lin, Huibiao Quan, Kaining Chen, Daoxiong Chen, Danhong Lin, Tuanyu Fang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. A critical review on therapeutic approaches of CRISPR-Cas9 in diabetes mellitus.Naunyn-Schmiedeberg's archives of pharmacology · 2023
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Genome Editing and Human Pluripotent Stem Cell Technologies for in vitro Monogenic Diabetes Modeling.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Review
  11. 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

6 authors at 2 institutions in 1 country.

Leweihua LinDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Huibiao QuanDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Kaining ChenDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Daoxiong ChenDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Danhong LinDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Tuanyu FangDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Hainan General Hospital · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maturity-onset diabetes mellitus of the young (MODY) is a monogenic diabetes characterized by autosomal dominant inheritance. Its atypical clinical features make diagnosis difficult and it can be misdiagnosed as type 1 or type 2 diabetes. Fourteen subtypes of MODY have been diagnosed so far, of which MODY12 is caused by mutation of the

Indexed as

Asian PeopleChildChinaDiabetes Mellitus, Type 2FamilyGenetic TestingHumansMaleMutation, MissensePedigreeSulfonylurea ReceptorsABCC8 protein, humanSulfonylurea ReceptorsABCC8 genediabetesmetforminmissense mutationMODY

Identifiers

PMID33013711
PMCPMC7516341
OpenAlexW3086016320

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.