Evidence map›Paper›PMID 38084248›Full record

ArticleJournal of medical biochemistry2023

Retrospective study to identify homocysteine reference intervals in healthy Chinese 60 years of age and above.

Jianmin Zong, Yue Sun

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical biochemistry, 2023. 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
0.5field-weighted citation impact, top 34% 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, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Jianmin ZongNanjing Prevention and Treatment Center for Occupational Diseases, Department of Laboratory Medicine, Nanjing, China.
Yue SunLianyungang Hospital Affiliated to Nanjing University of Chinese Medicine, Department of Laboratory Medicine, Lianyungang, China.
Nanjing Municipal Center for Disease Control And Prevention · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Homocysteine (Hcy) are associated with many age-related diseases. Heterogeneous physiology with aging combined with unresolved assays standardization necessitates the establishment of specific Hcy reference intervals (RIs) applicable to the elderly. This retrospective study aimed to identify Hcy RIs in the elderly aged 60 years and older from a hospital in Jiangsu Province, China. Methods: Data from individuals undergoing routine physical examinations were collected. Hcy were measured on Hitachi 7600 analyzer using hydrolase-based enzymatic cycling method. Outliers were identified by Dixon methods. Age- and gender-specific differences were estimated by nonparametric tests. Factors affected Hcy were assessed using multivariate linear regression. RIs with 90% confidence intervals were determined by nonparametric method. Results: A total of 2594 individuals were included. Hcy levels increased with age (r=0.248, p<0.001). Males have consistently higher Hcy levels (median (interquartile range): 11.95 (8.89-15.30) mmol/L) than females (9.65 (7.05-12.69) mmol/L; p<0.001). Multivariate adjustment analysis showed correlations between Hcy and gender (b=0.188, p<0.001), age (b=0.427, p<0.001) were significant. The Hcy RIs were 5.10-25.46 mmol/L for males, and 4.14-18.91 mmol/L for females, respectively. Conclusions: This study identified ageand gender-specific Hcy RIs in the elderly, which may guide clinicians in interpreting laboratory findings and clinical management.

Indexed as

agedhomocysteineindirect methodsreference intervals

Identifiers

PMID38084248
PMCPMC10710820
OpenAlexW4368377723

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.