Evidence map›Paper›PMID 29719717›Full record

ReviewClinical and translational allergy2018

Consideration of methods for identifying mite allergens.

Yubao Cui, Qiong Wang, Haoyuan Jia

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational allergy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 17 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

3 authors at 1 institution in 1 country.

Yubao CuiDepartment of Clinical Laboratory, Wuxi People's Hospital Affiliated to Nanjing Medical University, No. 299, Qingyang Road, Wuxi, 214023 Jiangsu Province People's Republic of China.ORCID 0000-0001-7736-8012
Qiong WangDepartment of Clinical Laboratory, Wuxi People's Hospital Affiliated to Nanjing Medical University, No. 299, Qingyang Road, Wuxi, 214023 Jiangsu Province People's Republic of China.
Haoyuan JiaDepartment of Clinical Laboratory, Wuxi People's Hospital Affiliated to Nanjing Medical University, No. 299, Qingyang Road, Wuxi, 214023 Jiangsu Province People's Republic of China.
Wuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

House dust mites are small arthropods that produce proteins-found in their feces, body parts, and eggs-that are major triggers of human allergies worldwide. The goal of this review is to describe the current methods used to identify these allergens. A literature search for allergen identification methods employed between 1995 and 2016 revealed multiple techniques that can be broadly grouped into discovery and confirmation phases. The discovery phase employs screening for mite proteins that can bind IgEs in sera from animals or patients allergic to dust mites. The confirmation phase employs biochemical methods to isolate either native or recombinant mite proteins, confirms the IgE binding of the purified allergens, and uses either in vitro or in vivo assays to demonstrate that the purified antigen can stimulate an immune response. The methods used in the two phases are defined and their strengths and weaknesses are discussed. The majority of HDM-allergic patients may respond to just a small subset of proteins, but new protein discovery methods are still warranted in order to develop a complete panel of HDM allergens for component resolved diagnosis and patient-tailored therapies.

Indexed as

Allergen classificationAllergen identificationDust mite allergenMite allergenMite allergy

Identifiers

PMID29719717
PMCPMC5921985
OpenAlexW2805785437

What OpenQuestion holds

Textmetadata
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.