Evidence map›Paper›PMID 33746609›Full record

ArticleJournal of medical biochemistry2020

Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data.

Danchen Wang, Chaochao Ma, Yutong Zou, Songlin Yu, Honglei Li, Xinqi Cheng, Ling Qiu, Tengda Xu

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

8 authors.

Danchen WangPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Chaochao MaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Yutong ZouPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Songlin YuPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Honglei LiPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Xinqi ChengPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Ling QiuPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, China.
Tengda XuChinese Academy of Medical Sciences, Peking Union Medical College Hospital, Department of Health Care, Dongcheng District, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndirect sampling methods are not only inexpensive but also efficient for establishing reference intervals (RIs) using clinical data. This study was conducted to select fully normal records to establish ageand gender-specific RIs for common biochemical analytes by laboratory data mining.

methodsIn total, 280,206 records from 2014 to 2018 were obtained from Peking Union Medical College Hospital. Common biochemical analytes total protein, albumin, total bilirubin (TBil), direct bilirubin (DBil), alanine aminotransferase (ALT), glutamyltranspeptidase (GGT), alkaline phosphatase (ALP), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), potassium, sodium, chlorine, calcium, urea, glucose, uric acid (UA), inorganic phosphorus, creatinine (Cr), total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol] were measured using an automatic analyzer. Sources of variation were identified by multiple regression analysis. The 2.5th and 97.5th percentiles were calculated as the lower and upper limits of the RIs, respectively.

resultsGender was the major source of variation among the 13 common biochemical analytes with an rp > 0.15. In contrast to the value listed in the WS/T 404, nearly all RIs established in this study were significantly narrower. Furthermore, age-specific RIs should be determined for DBil, LDH, and urea, whereas gender-specific RIs are suggested for GGT, LDH, and urea.

conclusionsWe recommend that gender-specific RIs should be established for ALT, AST, GGT, DBil, TBil, UA, and Cr as well as genderand age-specific RIs for urea and ALP. Through indirect sampling, ageand gender-specific RIs for common biochemical analytes were established and analyzed.

Indexed as

Chinese populationindirect sampling methodlarge data setreference interval

Identifiers

PMID33746609
PMCPMC7956001

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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.