Evidence map›Paper›PMID 34930155›Full record

ArticleBMC immunology2021

Reference ranges of T lymphocyte subsets by single-platform among healthy population in southwest China.

Bin Wei, Ying Guo, Liangjun Zhang, Huixiu Zhong, Qiang Miao, Lin Yan, Yangjuan Bai, Weihua Feng, Weiping Liu, Qian Niu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2021. 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
0.3field-weighted citation impact, top 44% 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, 8 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

11 authors at 3 institutions in 1 country.

Bin Wei *Department of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China.
Ying Guo *West China Second University Hospital/West China Women's and Children's Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, No. 20, Section 3, Renmin South Road, Wuhou District, Chengdu, 610041, Sichuan Province, China.
Liangjun ZhangDepartment of Laboratory Medicine, Zigong First People's Hospital, Zigong, Sichuan Province, China.
Huixiu ZhongDepartment of Laboratory Medicine, Zigong First People's Hospital, Zigong, Sichuan Province, China.
Qiang MiaoDepartment of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China.
Lin YanDepartment of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China.
Yangjuan BaiDepartment of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China.
Weihua FengDepartment of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China.
Weiping LiuDepartment of Laboratory Medicine, Zigong First People's Hospital, Zigong, Sichuan Province, China. liuweiping_1111@163.com.
Qian NiuDepartment of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China. niuqian991@126.com.
Yi LiDepartment of Laboratory Medicine/Clinical Research Center of Laboratory Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China. liyiscu@126.com.
Sichuan University · CNZigong First People's Hospital · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate reference ranges of T lymphocyte subsets are essential for immune status evaluation of patients with immunological diseases. We aim to establish the age- and sex-related reference intervals of T lymphocyte subsets by single-platform for the southwest China population using the indirect method with the data resulting from 53,822 cases of periodic health examination individuals in the Laboratory Information System (LIS) of West China Hospital from 2018 to 2020.

methodsWe used the Box-Cox conversion combined with the Tukey method to normalize the data and eliminate the outliers, and the nonparametric method to estimate the 95% distribution reference intervals.

resultsWe initially established the reference ranges of T lymphocyte subsets by single-platform among healthy population in southwest China by indirect method (See text for details). Using the standard normal deviate test (z-test) suggested by Harris and Boyd according to CLSI EP28-A3C, which is more scientific, we found the reference ranges of T lymphocyte subsets should be differentiated by ages and genders since the reference ranges of T lymphocyte subsets by single-platform in different ages and genders are significantly different.

conclusionsWe further demonstrated the absolute count of CD3 + T cell, CD3 + CD4 + T cell, CD3 + CD8 + T cell decreased with aging, which is more marked in men and CD3 + CD8 + T cell count, and the obtained reference intervals were superior to the reference intervals derived from the reagent specification currently in use.

Indexed as

Sex FactorsAdolescentAdultAgedAged, 80 and overAgingCD4-Positive T-LymphocytesChinaFemaleHealthy VolunteersHumansLymphocyte CountMaleMiddle AgedReference ValuesT-Lymphocyte SubsetsIndirect methodReference rangesSingle-platformSouthwest ChinaT lymphocyte subsets

Identifiers

PMID34930155
PMCPMC8690880
OpenAlexW4200301505

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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.