Evidence map›Paper›PMID 32689964›Full record

ArticleBMC geriatrics2020

A grading system from health to death using routine experimental indicators based on the pre-chronic disease status theory.

Yang Guang, Li Yuzhong, Liu Hui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yang GuangCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China.
Li YuzhongCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China.
Liu HuiCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China. liuhui60@sina.com.

Funding

National Natural Science Foundation of China 30770724
6 · The paper itself

Abstract

backgroundTo establish a system for assessing pre-chronic disease status (PCDS) whereby changes in biomolecule levels occur before the appearance of physical damage to body organs. We based our study on the common biomarkers of aging, disease and end-of-life processes.

methodsThe red blood cell count as well as levels of albumin, creatinine and aspartate aminotransferase were used as indicators for measurement. The basic premise for determining PCDS was that the measured value was outside the reference range for a healthy individual. A binary outcome was determined according to reference range given by the laboratory undertaking the measurements. The Biological Age Index (BAI) was used to ascertain PCDS.

resultsThe four indictors that we chose were sensitive for end-of-life and aging. The BAI score for each age group increased significantly with increasing age. The BAI score of patients with cardiac disease, cerebrovascular disease, cancer or chronic obstructive pulmonary disease were mostly higher than those in healthy age-matched people.

conclusionA system for assessing PCDS centered on biomolecular detection and independent of the pathologic diagnosis could be effective.

Indexed as

AgingBiomarkersChronic DiseaseHumansReference ValuesBiomarkersBiological ageBiomarkersChronic diseaseClinical chemistryRisk assessment

Identifiers

PMID32689964
PMCPMC7372797

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.