Evidence map›Paper›PMID 35028470›Full record

ArticleHeliyon2022

The early detection of type 1 diabetes mellitus and latent autoimmune diabetes in adults (LADA) through rapid test reverse-flow immunochromatography for glutamic acid decarboxylase 65 kDa (GAD

Aulanni'am Aulanni'am, Dyah Kinasih Wuragil, Hendra Susanto, Anita Herawati, Yulianto Muji Nugroho, Wahyu Nur Laili Fajri, Perdana Finawati Putri, Susiati Susiati, Jerry Dwi Trijoyo Purnomo, Ahmad Taufiq and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

11 authors at 3 institutions in 1 country.

Aulanni'am Aulanni'amFaculty of Sciences, Brawijaya University, Indonesia.
Dyah Kinasih WuragilFaculty of Veterinary Medicine, Brawijaya University, Indonesia.
Hendra SusantoFaculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Indonesia.
Anita HerawatiBiosains Institute, Brawijaya University, Indonesia.
Yulianto Muji NugrohoBiosains Institute, Brawijaya University, Indonesia.
Wahyu Nur Laili FajriBiosains Institute, Brawijaya University, Indonesia.
Perdana Finawati PutriBiosains Institute, Brawijaya University, Indonesia.
Susiati SusiatiBiosains Institute, Brawijaya University, Indonesia.
Jerry Dwi Trijoyo PurnomoFaculty of Science and Data Analytics, Institut Teknologi Sepuluh November, Indonesia.
Ahmad TaufiqFaculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Indonesia.
Djoko Wahono SoeatmadjiFaculty of Medicine, Brawijaya University, Indonesia.
University of Brawijaya · IDState University of Malang · IDSepuluh Nopember Institute of Technology · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM) is a chronic and costly disease that has become a primary concern worldwide. Type 1 diabetes mellitus is categorized as an autoimmune disease, which results in islet cell apoptosis and insulin-dependent. GAD

methodsWe have developed a rapid test for anti-GAD65 autoantibodies in this assay based on the reverse-flow immunochromatography method. Human recombinant-protein antigen for GAD

resultsAmong the 276 healthy samples, 225 samples were identified as positive for anti-GAD

conclusionThe significant advantages of our rapid test for anti-GAD

Indexed as

AutoimmuneGlutamic acid decarboxylase 65 (GAD65)Rapid testType 1 diabetes mellitus

Identifiers

PMID35028470
PMCPMC8741515
OpenAlexW4206053628

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.