Evidence map›Paper›PMID 31341848›Full record

ArticleIranian journal of public health2019

The Clinical Application Value of Multiple Combination Food Intolerance Testing.

Shudong Lin, Xiujing Yang, Ying Xing, Xingye Wang, Yadong Li

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Shudong LinClinical Laboratory, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, P.R. China.
Xiujing YangClinical Laboratory, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, P.R. China.
Ying XingClinical Laboratory, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, P.R. China.
Xingye WangClinical Laboratory, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, P.R. China.
Yadong LiClinical Laboratory, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, P.R. China.
Qiqihar Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate the clinical value of detecting 14 food intolerances.

methodsA total of 312 patients with food intolerance enrolled in the Third Affiliated Hospital of Qiqihar Medical University (Qiqihar, China) from Feb 2016 to Feb 2017 were selected. ELISA was used to detect intolerance specific IgG antibodies for 14 foods (pork, chicken, beef, shrimp, fish, crab, egg white/yolk, tomato, mushroom, milk, corn, rice, soybean, wheat).

resultsThe highest average positive rate of the patients was 42.31% for the crab, followed by shrimp 21.15%, egg white/yolk 18.27% and milk 16.99%. The positive rate from high to low was crab, shrimp, egg white/yolk, milk, fish, corn, soybeans, tomatoes, rice, mushrooms, wheat, pork, beef, chicken. There were significant differences in the specific IgG antibody positive rates between shrimp, soybean and wheat in the skin symptoms group, gastrointestinal symptoms group, respiratory symptom group and nervous system symptom group (

conclusionThe detection of food-specific IgG antibodies can help to determine which food intolerance caused the disease, and then adopt a fasting or diet method to avoid eating unsuitable foods and continually damaging the body, thus maintaining good health. The detection method provides a new idea for the diagnosis and prevention of diseases.

Indexed as

DiseaseFood intoleranceImmunoglobulin GValue

Identifiers

PMID31341848
PMCPMC6635325
OpenAlexW2955202897

What OpenQuestion holds

Textmetadata
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.