Evidence map›Paper›PMID 28764708›Full record

ArticleJournal of translational medicine2017

Estimating the survival advantage based on telomere length and serum biomarkers of aging.

Yilin Zhao, Shijun Li, Hui Liu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Biomarkers for Aging Identified in Cross-sectional Studies Tend to Be Non-causative.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  4. 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

3 authors.

Yilin ZhaoCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China.
Shijun LiCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China.
Hui LiuCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China. immunology@dlmedu.edu.cn.ORCID 0000-0002-1262-1168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to establish a model that estimates the survival advantage at the molecular level based on telomere length and serum biomarkers of aging, to explore clinical significance.

methodsThe study consisted of 100 healthy subjects and 40 type 2 diabetes mellitus patients, 20-90 years of age. Saliva telomere relative length (LnTL) was measured by the quantitative real-time polymerase chain reaction and the serum biochemical parameters, including albumin (ALB), total proteins, total cholesterol, triglycerides, and some enzyme parameters were detected by a biochemical analyzer. The Z values were transformed from mean values and standard deviations to estimate the survival advantage. A normal reference range (95% confidence interval) was set to the comprehensive advantage of the Z values (Z

resultsThe Z values of serum ALB and saliva LnTL could be used to estimate the survival advantage, and effectively distinguish between the aging and nonaging individuals. The Z

conclusionsOur two-dimensional model system using ALB and LnTL was valid and may have potential applications for evaluating the aging status at the molecular level, and for the observation of disease characteristics.

Indexed as

Telomere HomeostasisAdultAgedAged, 80 and overAgingAlbuminsBiomarkersCase-Control StudiesCholesterolDiabetes MellitusHumansMiddle AgedSurvival AnalysisTriglyceridesYoung AdultAlbuminsBiomarkersCholesterolTriglyceridesAgingAlbuminSurvival advantageTelomere length

Identifiers

PMID28764708
PMCPMC5540222

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.