Evidence map›Paper›PMID 31674712›Full record

ArticleJournal of clinical laboratory analysis2020

Reference intervals established using indirect method for serum ferritin assayed on Abbott Architect i2000

Qing-Ping Wang, Lin-Ying Guo, Zhi-Yong Lu, Jian-Wen Gu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Qing-Ping WangDepartment of Clinical Laboratory, The Shaoxing Hospital of China Medical University, Shaoxing, China.ORCID https://orcid.org/0000-0002-7239-9693
Lin-Ying GuoDepartment of Health Examination Center, The Shaoxing Hospital of China Medical University, Shaoxing, China.
Zhi-Yong LuDepartment of Clinical Laboratory, The Shaoxing Hospital of China Medical University, Shaoxing, China.
Jian-Wen GuDepartment of Clinical Laboratory, The Third Affiliated Hospital of Suzhou University, Changzhou, China.
Shaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum ferritin (SF) test has been widely used in clinical practice. However, its reference intervals (RIs) vary depending on the analytical method and ethnic origin. This study was to establish the RIs using indirect method for SF in Chinese adults.

methodsSF was assayed on Abbott i2000

resultsSF levels in females were significantly different from those in males (Z = 88.96, Z* = 23.17; Z > Z*) and showed a weak positive correlation with age (r = .466, P < .0001). The RIs based on parametric approach in males were 66.12-561.58 µg/L, whereas in all females were 3.59-269.59 µg/L, females aged <50 years 3.26-148.02 µg/L and those aged ≥50 years 17.28-303.27 µg/L. The RIs based on non-parametric approach in males were 65.00-571.37 µg/L whereas in all females were 4.00-254.00 µg/L, females aged <50 years 4.00-152.00 µg/L and those aged ≥50 years 16.00-304.05 µg/L.

conclusionsOur indirect RIs for SF were markedly different from the manufacturer's recommended RIs and might be more suitable for Chinese adults, which would be helpful in interpreting laboratory data and clinical decision-making.

Indexed as

Asian PeopleAdolescentAdultAgedAged, 80 and overAge FactorsBiological AssayFemaleFerritinsHumansMaleMiddle AgedReference ValuesYoung AdultFerritinsadultsChineseindirect methodreference intervalsserum ferritin

Identifiers

PMID31674712
PMCPMC7083431
OpenAlexW2986399937

What OpenQuestion holds

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LicenceCC BY
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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.