Evidence map›Paper›PMID 25896310›Full record

ArticleJournal of translational medicine2015

Objective assessment of health or pre-chronic disease state based on a health test index derived from routinely measured clinical laboratory parameters.

Sun Wenping, Liu Ying, Leng Song, Li Yuzhong, Liu Hui

Abstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Sun WenpingCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China. sunwp99@163.com.
Liu YingSecond Affiliated Hospital of Dalian Medical University, Dalian, China. dy2ytjzx@163.com.
Leng SongSecond Affiliated Hospital of Dalian Medical University, Dalian, China. dllengsong@126.com.
Li YuzhongCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China. dlliyuzhong@126.com.
Liu HuiCollege of Medical Laboratory, Dalian Medical University, Dalian, 116044, China. liuhui60@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a quantitative system to enable the objective assessment of health or pre-chronic disease state.

methodsOn the basis of measured values and reference ranges, we obtained the organ function index (mean of the cut-off ratios of albumin and creatinine), blood lipid index (mean of the cut-off ratios of triglycerides, cholesterol, high-density lipoproteins and low-density lipoproteins), stress index (mean of the cut-off ratios of neutrophils and glucose), and the health test index (mean of the above three indexes, HTI). Elderly populations, individuals with nonalcoholic fatty liver disease and administrators were included in the groups of observed subjects to verify the organ function index, blood lipid index and stress index.

resultsThe scores of the three indexes were all statistically higher in the observed group than in the control group (p < 0.05). The mean HTI score was 0.7 ± 0.07 and was normally distributed in the control population. The rates of hypertension, obesity, fatty liver disease and health (undetectable organic diseases) increased with increasing HTI scores in a random population.

conclusionsThe HTI is easily derived from routinely measured clinical laboratory parameters. It can reflect the health status of an individual and may be a useful tool for the quantitative differentiation of health status.

Indexed as

Health StatusHealth Status IndicatorsAdultAgedCase-Control StudiesChronic DiseaseClinical Laboratory TechniquesFatty LiverFemaleHumansHypertensionIncidenceMaleMiddle AgedObesityReference Values

Identifiers

PMID25896310
PMCPMC4423109

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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.