Evidence map›Paper›PMID 42170595›Full record

ArticleJournal of human immunity2026

Automated data extraction model for the USIDNET registry: Bigger, faster, and better data collection.

Vaibhavi Vichare, Gonench Kilich, Charlotte Cunningham-Rundles, Michelle Onyekaba, Roshini S Abraham, Jennifer Puck, Ramsay Fuleihan, Rebecca A Marsh, Kathleen E Sullivan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of human immunity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Vaibhavi VichareDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID https://orcid.org/0009-0006-1270-1869
Gonench KilichDivision of Allergy Immunology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID https://orcid.org/0009-0006-5043-6066
Charlotte Cunningham-RundlesDepartment of Medicine, Department of Pediatrics, Icahn School of Medicine at Mount Sinai New York, NY, USA.ORCID https://orcid.org/0000-0003-0725-0320
Michelle OnyekabaUniversity of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-5106-8273
Roshini S AbrahamDepartment of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, OH, USA.ORCID https://orcid.org/0000-0001-8109-8502
Jennifer PuckDivision of Allergy/Immunology and Blood and Marrow Transplantation, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, CA, USA.ORCID https://orcid.org/0000-0001-6623-6276
Ramsay FuleihanDivision of Allergy, Immunology and Rheumatology, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.ORCID https://orcid.org/0000-0002-8477-9239
Rebecca A MarshDivision of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0002-9645-0617
Kathleen E SullivanDepartment of Medicine, Department of Pediatrics, Icahn School of Medicine at Mount Sinai New York, NY, USA.ORCID https://orcid.org/0000-0002-3577-9021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United States Immunodeficiency Network (USIDNET) is an NIH-funded research consortium that advances scientific investigation on inborn errors of immunity (IEIs). Formerly, USIDNET registry data were collected via an opt-in system with patient informed consent. The current registry uses semiautomated, de-identified data extraction from EPIC with a consent waiver. This study was performed to assess whether the new method improved enrollment using data from one site. Diagnoses, sex, and age within the new (

Identifiers

PMID42170595
PMCPMC13177572

What OpenQuestion holds

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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.