Evidence map›Paper›PMID 30557306›Full record

SynthesisPloS one2018

Association and biomarker potential of elevated serum adiponectin with nephropathy among type 1 and type 2 diabetics: A meta-analysis.

Noel Pabalan, Raphael Enrique Tiongco, Jefferyl Kae Pandac, Noemi Anne Paragas, Shamar Lo Lasta, Nelven Gallego, Hamdi Jarjanazi, Maria Ruth Pineda-Cortel

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2018. 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
0.6field-weighted citation impact, top 28% 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, 7 citations in OpenAlex.

  1. Pooled it
  2. Journal of diabetes research · 2020
    Pooled it
  3. Childhood Obesity: Insight into Kidney Involvement.International journal of molecular sciences · 2023
    Review
  4. Article
  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

8 authors at 3 institutions in 2 countries.

Noel PabalanCenter for Research and Development, Angeles University Foundation, Angeles City, Philippines.ORCID 0000-0003-2069-5535
Raphael Enrique TiongcoDepartment of Medical Technology, College of Allied Medical Professions, Angeles University Foundation, Angeles City, Philippines.ORCID 0000-0002-7793-6558
Jefferyl Kae PandacGraduate School, University of Santo Tomas, Manila City, Philippines.
Noemi Anne ParagasGraduate School, University of Santo Tomas, Manila City, Philippines.
Shamar Lo LastaGraduate School, University of Santo Tomas, Manila City, Philippines.
Nelven GallegoGraduate School, University of Santo Tomas, Manila City, Philippines.
Hamdi JarjanaziEnvironmental Monitoring and Reporting Branch, Ontario Ministry of the Environment and Climate Change, Toronto, Ontario, Canada.ORCID 0000-0001-8652-2560
Maria Ruth Pineda-CortelGraduate School, University of Santo Tomas, Manila City, Philippines.ORCID 0000-0001-6157-7012
University of Santo Tomas · PHAngeles University Foundation · PHMinistry of the Environment, Conservation and Parks · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManaging nephropathy associated with diabetes mellitus warrant investigation of relevant biomarkers in predicting this condition. Adiponectin (ADP) may hold promise as a biomarker for diabetic nephropathy (DN). In this study, we examine associations of ADP with DN by meta-analyzing relevant literature. We also examined the predictive potential of ADP and estimate progression of DN.

methodsMulti-database literature searches and serial omissions of articles yielded 13 studies for inclusion in the meta-analysis. We compared ADP levels between controls/ normoalbuminuria and cases with micro- and macroalbuminuria (MI and MA, respectively) as well as MI versus MA using standardized mean differences (SMD). Associations of ADP with DN were indicated with the P-value considered significant at ≤ 0.05. Subgrouping was based on diabetes type (1 and 2). Predictive potential of ADP was explored with AUC (area under the curve) derived from Receiver Operating Characteristic curve analysis. RESULTS AND

conclusionAt high P-values of <10-5, overall and subgroup outcomes indicated ADP associations with DN (up to SMD = 1.89-2.26, respectively). However, heterogeneity of the initial SMD effects (up to I2 = 99%) warranted examination of their sources which with the Galbraith plot method, either eliminated or reduced their heterogeneity, signifying combinability of the studies. This feature along with consistency of significant associations, robust outcomes and significant AUC values provide good evidence of the associative and predictive roles of ADP in DN.

Indexed as

AdiponectinBiomarkersDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic NephropathiesDisease ProgressionHumansAdiponectinBiomarkers

Identifiers

PMID30557306
PMCPMC6296550
OpenAlexW2905043167

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.