Evidence map›Paper›PMID 34909743›Full record

ArticleJID innovations : skin science from molecules to population health2021

Using a Machine Learning Approach to Identify Low-Frequency and Rare

Ronald Berna, Nandita Mitra, Ole Hoffstad, Bradley Wubbenhorst, Katherine L Nathanson, David J Margolis

Open access · goldAbstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2021. 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
1.0field-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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Ronald BernaDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nandita MitraDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ole HoffstadDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Bradley WubbenhorstDivision of Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Katherine L NathansonDivision of Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David J MargolisDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atopic dermatitis (AD) is a common relapsing inflammatory skin disease.

Indexed as

AD, atopic dermatitisGAD, genetics of atopic dermatitisGEE, generalized estimating equationLoF, loss of functionMAF, minor allele frequencyPEER, Pediatric Eczema Elective RegistryPoC, probability of clearance

Identifiers

PMID34909743
PMCPMC8659778
OpenAlexW3195975673

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.