Evidence map›Paper›PMID 26945390›Full record

ArticleMedicine2016

Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China.

Liangyu Xia, Ming Chen, Min Liu, Zhihua Tao, Shijun Li, Liang Wang, Xinqi Cheng, Xuzhen Qin, Jianhua Han, Pengchang Li and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Imperative of Population-Specific Biochemical Reference Intervals: A Translational Framework for Precision Public Health.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  17. 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

14 authors.

Liangyu XiaFrom the Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academic Medical Science and Peking Union Medical College (LX, XC, XQ, JH, PL, LH, SY, LQ), Beijing, China; and Department of Clinical Laboratory Medicine, Institute of Surgery Research, Daping Hospital, the Third Military Medical University (MC), Chongqing, China; Department of Clinical Laboratory, the first Affiliated Hospital, Sun Yat-sen University (ML), Guangzhou, China; Department of Clinical Laboratory, the Second Affiliated Hospital of Zhejiang University School of Medicine (ZT), Hangzhou, China; Department of Clinical Laboratory, the First Affiliated Hospital of Dalian Medical University (SL), Dalian, China; Department of Clinical Laboratory, Xinjiang Medical University (LW), Urumuqi, China; and Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine (KI), Ube, Japan.
Ming Chen
Min Liu
Zhihua Tao
Shijun Li
Liang Wang
Xinqi Cheng
Xuzhen Qin
Jianhua Han
Pengchang Li
Li'an Hou
Songlin Yu
Kiyoshi Ichihara
Ling Qiu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A nationwide multicenter study was conducted in the China to explore sources of variation of reference values and establish reference intervals for 28 common biochemical analytes, as a part of the International Federation of Clinical Chemistry and Laboratory Medicine, Committee on Reference Intervals and Decision Limits (IFCC/C-RIDL) global study on reference values. A total of 3148 apparently healthy volunteers were recruited in 6 cities covering a wide area in China. Blood samples were tested in 2 central laboratories using Beckman Coulter AU5800 chemistry analyzers. Certified reference materials and value-assigned serum panel were used for standardization of test results. Multiple regression analysis was performed to explore sources of variation. Need for partition of reference intervals was evaluated based on 3-level nested ANOVA. After secondary exclusion using the latent abnormal values exclusion method, reference intervals were derived by a parametric method using the modified Box-Cox formula. Test results of 20 analytes were made traceable to reference measurement procedures. By the ANOVA, significant sex-related and age-related differences were observed in 12 and 12 analytes, respectively. A small regional difference was observed in the results for albumin, glucose, and sodium. Multiple regression analysis revealed BMI-related changes in results of 9 analytes for man and 6 for woman. Reference intervals of 28 analytes were computed with 17 analytes partitioned by sex and/or age. In conclusion, reference intervals of 28 common chemistry analytes applicable to Chinese Han population were established by use of the latest methodology. Reference intervals of 20 analytes traceable to reference measurement procedures can be used as common reference intervals, whereas others can be used as the assay system-specific reference intervals in China.

Indexed as

Reference ValuesAdultAnalysis of VarianceAsian PeopleChemistry, ClinicalChinaFemaleHumansMaleMiddle AgedSpecimen HandlingYoung Adult

Identifiers

PMID26945390
PMCPMC4782874

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.