Evidence map›Paper›PMID 31760939›Full record

ArticleBMC pediatrics2019

Association between atopic disease and anemia in pediatrics: a cross-sectional study.

Kiyon Rhew, Jung Mi Oh

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 45 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

2 authors at 2 institutions in 1 country.

Kiyon RhewCollege of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
Jung Mi OhCollege of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea. jmoh@snu.ac.kr.ORCID 0000-0002-1836-1707
Dongduk Women's University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtopic diseases, such as atopic dermatitis, allergic rhinitis, and asthma, are inflammatory diseases common in pediatric patients. This study investigated whether these inflammatory atopic diseases were associated with anemia in pediatrics.

methodsA cross-sectional study was conducted using a pediatric dataset from the Health Insurance Review and Assessment Service (HIRA) of South Korea in 2016. Multivariable logistic regression, adjusting for demographic covariates was used for analyse the association between atopic disease and iron deficiency anemia (IDA).

resultsA total of 846,718 pediatric patients were included in the study. Of these, 19,594 (2.31%) had a diagnosis of IDA. The logistic regression analyses including covariates revealed there were association between atopic disease and IDA. The adjusted OR (aOR) of IDA was 1.42 (95% CI, 1.37-1.47) for atopic dermatitis, 1.25 (95% CI, 1.21-1.29) for allergic rhinitis, and 1.71 (95% CI, 1.65-1.76) for asthma. IDA was more prevalent in patients with multiple comorbid atopic diseases, with aOR of 1.30 (95% CI, 1.25-1.35), 1.81 (95% CI, 1.73-1.89), and 2.58 (95% CI, 2.43-2.73) for 1, 2, or 3 atopic diagnoses. There was no evidence of multicollinearity among covariates.

conclusionsOur findings suggest that atopic disease was associated with IDA. Further study is needed to clarify the distinction between IDA and/or AI to better understand the cause of anemia in patients with inflammatory diseases.

Indexed as

AdolescentAnemia, Iron-DeficiencyAsthmaChildChild, PreschoolCross-Sectional StudiesDermatitis, AtopicFemaleHumansMaleRhinitis, AllergicAllergic rhinitisAnemiaAsthmaAtopic dermatitisAtopic disease

Identifiers

PMID31760939
PMCPMC6876088
OpenAlexW2991538850

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.