Evidence map›Paper›PMID 38213155›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2024

The Levels of Phoenixin-14 and Phoenixin-20 in Patients with Type 2 Diabetes Mellitus.

Ummugulsum Can, Sadinaz Akdu, Serdar Şahinoğlu

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Article in Endocrine, metabolic & immune disorders drug targets, 2024. 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
0.6field-weighted citation impact, top 36% 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, 2 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Ummugulsum CanKonya City Hospital, Department of Biochemistry, Konya, Turkey.
Sadinaz AkduFethiye State Hospital, Department of Biochemistry, Muğla, Turkey.
Serdar ŞahinoğluFethiye State Hospital, Department of Internal Medicine, Muğla, Turkey.
Sivas State Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew pathogenesis-related early detection markers are needed to prevent Type 2 Diabetes Mellitus (T2DM).

objectiveWe aimed to determine phoenixin (PNX)-14 and PNX-20 levels in T2DM patients and investigate their relationship with diabetes.

methods36 T2DM patients and 36 healthy controls were included in the study, and PNX-14 and PNX-20 levels in blood samples taken from the groups were measured by ELISA method.

resultsPatients' serum PNX-14 and PNX-20 levels were statistically significantly lower than in controls (p <0.001). A negative correlation was detected between PNX-14 and BMI, fasting blood sugar, HbA1c%, and HOMA-IR. A negative correlation was found between PNX-20 and BMI, fasting insulin and glucose, HbA1c%, and HO-MA-IR. A positive correlation was noticed between PNX-14 and PNX-20 levels. In ROC analyses, PNX-14 and PNX-20 performed almost equally in predicting T2DM. In predicting T2DM, the area under the ROC curve for PNX-14 was 0.874 (cutoff value 413.4 ng/L, sensitivity 89 %, specificity 72%), and for PNX-20 was 0.858 (cutoff value 228.7 ng/L, sensitivity 80 %, specificity 83 %).

conclusionThis study shows that serum PNX measurement may have a high level of evidence in predicting T2DM. PNX, related to pathogenesis, may be useful in diagnosing T2DM and other information to support clinical decision-making.

Indexed as

BiomarkersDiabetes Mellitus, Type 2AdultAgedBlood GlucoseCase-Control StudiesFemaleGlycated HemoglobinHumansInsulin ResistanceMaleMiddle AgedPeptide HormonesBiomarkersBlood GlucoseGlycated HemoglobinPeptide Hormonesphoenixinfood regulationinflammationinsulin resistancephoenixin-14phoenixin-20.Type 2 diabetes mellitus

Identifiers

PMID38213155
OpenAlexW4390792114

What OpenQuestion holds

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Registered trials

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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.