Evidence map›Paper›PMID 28546743›Full record

ReviewClinical interventions in aging2017

Common methods of biological age estimation.

Linpei Jia, Weiguang Zhang, Xiangmei Chen

Abstract readReview
In one paragraph

Review in Clinical interventions in aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–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

71 citing papers in PubMed.

  1. Trial
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  5. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
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  18. Assessment of Cervical Vertebral Maturation and Chronological Age in Yemeni Children and Adolescents Using Lateral Cephalometric Radiographs.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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.

Linpei JiaDepartment of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province.
Weiguang ZhangDepartment of Nephrology, Chinese People's Liberation Army General Hospital, Beijing.
Xiangmei ChenDepartment of Nephrology, Second Hospital of Jilin University, Changchun, Jilin Province.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, no single indicator could be used as a golden index to estimate aging process. The biological age (BA), which combines several important biomarkers with mathematical modeling, has been proposed for >50 years as an aging estimation method to replace chronological age (CA). The common methods used for BA estimation include the multiple linear regression (MLR), the principal component analysis (PCA), the Hochschild's method, and the Klemera and Doubal's method (KDM). The fundamental differences in these four methods are the roles of CA and the selection criteria of aging biomarkers. In MLR and PCA, CA is treated as the selection criterion and an independent index. The Hochschild's method and KDM share a similar concept, making CA an independent variable. Previous studies have either simply constructed the BA model by one or compared the four methods together. However, reviews have yet to illustrate and compare the four methods systematically. Since the BA model is a potential estimation of aging for clinical use, such as predicting onset and prognosis of diseases, improving the elderly's living qualities, and realizing successful aging, here we summarize previous BA studies, illustrate the basic statistical steps, and thoroughly discuss the comparisons among the four common BA estimation methods.

Indexed as

Models, StatisticalAgedAgingBiomarkersFemaleHumansLinear ModelsMaleModels, BiologicalMultivariate AnalysisPrincipal Component AnalysisBiomarkersaging biomarkerchronological agestatistical methodstatistical model

Identifiers

PMID28546743
PMCPMC5436771

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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.