Evidence map›Paper›PMID 32587693›Full record

ArticleSAGE open medicine2020

Continuous changes in biological levels of complete blood count in a high altitude area of China.

Xuan Luo, Lei Feng, XueJing Bai, JiangXian Zhu, GuanCheng Zhao, MengNa Wu, ZeFeng Yan

Open access · goldAbstract read
In one paragraph

Article in SAGE open medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 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

7 authors at 1 institution in 1 country.

Xuan LuoDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.ORCID https://orcid.org/0000-0002-7838-2489
Lei FengDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.
XueJing BaiDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.
JiangXian ZhuDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.
GuanCheng ZhaoDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.
MengNa WuDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.
ZeFeng YanDepartment of Laboratory, People's Hospital of Yuxi City, Yuxi, P.R. China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to establish a new reference interval of blood cell parameters by classifying and counting blood Cells of 16- to 85-year-old healthy volunteers and observing continuous changes with age.

methodsWe analyzed the blood cell parameters of 42,678 cases (men, 24,406; women, 18,272), and compared the blood cell parameters of men and women in different age groups using an independent samples t-test. Using limits of 2.5%-97.5%, a 90% confidence interval was used to develop new reference intervals.

resultsCounts of blood cell parameters, including white blood Cells, neutrophils, lymphocytes, monocytes, eosinophils, basophils, red blood Cells, hemoglobin, hematocrit, distribution width of red blood Cells and platelets, were found to differ between men and women in different age groups. These parameters were used to establish a new reference interval of blood Cells.

conclusionThe blood cell parameters of both men and women changed with increasing age. The reference interval that we established will provide more accurate basic evidence for clinical diagnosis and treatment of diseases.

Indexed as

Blood Cellsred blood Cellsreference intervalwhite blood Cells

Identifiers

PMID32587693
PMCPMC7294479
OpenAlexW3035367788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.