Evidence map›Paper›PMID 32328149›Full record

ArticleComputational and mathematical methods in medicine2020

Division of Myocardial Enzyme Reference Intervals in Population Aged 1 to <18 Years Old Based on Fisher's Optimal Segmentation Method.

Wenjia Guo, Qi Zhou, Yanan Jia, Jiancheng Xu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 9 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 2 institutions in 1 country.

Wenjia GuoDepartment of Laboratory Medicine, First Hospital of Jilin University, Changchun 130021, China.
Qi ZhouDepartment of Pediatrics, First Hospital of Jilin University, Changchun 130021, China.
Yanan JiaDepartment of Laboratory Medicine, Shanxi Bethune Hospital, Taiyuan 030032, China.
Jiancheng XuDepartment of Laboratory Medicine, First Hospital of Jilin University, Changchun 130021, China.ORCID https://orcid.org/0000-0001-8796-271X
Jilin University · CNShanxi Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReference interval (RI) research is to make it a concise, effective, and practical diagnostic tool. This study aimed to establish sex- and age-specific RI for myocardial enzyme activity in population aged 1-<18 years old in Changchun, China.

methodsHealthy subjects (

resultsAST decreased gradually and was partitioned as 1, 2∼<10 and 10∼<18 years old. LDH presented disparate descending rate among 1∼<4, 4∼<12, and 12∼<18 years old. CK stood quite stable with the same RI in all ages. CKMB began to differ at 6 years of age sexually and then remained stable during 6∼<14 years old for male while it continued to decline in female. Cardiac development was partitioned as 1∼<6, 6∼<13, and 13∼<18 years old using multiple percentiles from massive data that reflect characteristics of totality as impact factors.

conclusionsFisher's optimal segmentation method excelled for multidimensionality, continuity, and loop calculating as dealing with RIs for myocardial enzymes activity and cardiac development process despite limitations. In future, impact of partition on the overall interval should be delved into.

Indexed as

AdolescentAge FactorsAspartate AminotransferasesChildChild, PreschoolChinaComputational BiologyCreatine KinaseCreatine Kinase, MB FormFemaleHealthy VolunteersHumansInfantL-Lactate DehydrogenaseMaleModels, StatisticalAspartate AminotransferasesCreatine KinaseCreatine Kinase, MB FormL-Lactate Dehydrogenase

Identifiers

PMID32328149
PMCPMC7150721
OpenAlexW3014429896

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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.