Evidence map›Paper›PMID 25405125›Full record

ArticleMedical journal of the Islamic Republic of Iran2014

Causality relationships between coagulation factors in type 2 diabetes mellitus: path analysis approach.

Mohammad Reza Dayer, Maysam Mard-Soltani, Mohammad Saaid Dayer, Sayed Mohammad Reza Alavi

Open access · greenAbstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 44% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Hyperglycemia and Venous Thromboembolism.Diagnostics (Basel, Switzerland) · 2024
    Review
  3. Review
  4. Review
  5. 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

4 authors at 3 institutions in 1 country.

Mohammad Reza Dayer1. Assistant Professor, Department of Biology, Faculty of Science, Shahid Chamran University, Ahvaz, Iran. mrdayer@scu.ac.ir.
Maysam Mard-Soltani2. Medical Education Development Center, Dezful University of Medical Sciences, Dezful, Iran. maysam.mardsoltani@gmail.com.
Mohammad Saaid Dayer3. Assistant Professor, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. dayer@modares.ac.ir.
Sayed Mohammad Reza Alavi4. Assistant Professor, Department of Statistics, Faculty of Mathematics and Computer Sciences, Shahid Chamran University, Ahvaz, Iran. alavi_m@scu.ac.ir.
Shahid Chamran University of Ahvaz · IRDezful University of Medical Sciences · IRTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetic mellitus patients are amongst the most susceptible groups to vascular abnormalities, which predominantly lead to myocardial disease. The hypercoagulable state has been widely studied by researchers as being the major suspicious mechanism facilitating the consecutive chain of molecular events leading to these complications. However, there is no consensus on the definition of the hypercoagulable state with respect to coagulation quantities, their interrelations and basic factor(s) initiating this pathogenic event, by which the prognosis of myocardial complications could be determined.

methodsPath analysis was used to study the interactions between coagulation factors as well as other factors beyond coagulation factors in relation with pathogenic events in both diabetics and healthy subjects. In the present work, coagulation factors of 40 healthy and 40 type 2 diabetics were determined experimentally. The data were then analyzed using SPSS and AMOS software. Multivariate regression analysis was done to draw path diagrams.

resultsOur results show that FII, as the main cause for hypercoagulable state, is directly induced by FX and FVIII in normal individuals and by FX, FXI, FV and VWF cofactors in diabetic patients.

conclusionIn general, our findings showed complicated relationship between coagulation factors and their effects either separately or combined.

Indexed as

Coagulation FactorsHypercoagulable StateMyocardial InfarctionPath analysisvascular Complication

Identifiers

PMID25405125
PMCPMC4219888
OpenAlexW191120992

What OpenQuestion holds

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LicenceCC BY-NC
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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.