Evidence map›Paper›PMID 28770187›Full record

ArticleFrontiers in pediatrics2017

T-Cell Lymphopenia Detected by Newborn Screening in Two Siblings with an Xq13.1 Duplication.

Xavier Rios, Ivan K Chinn, Jordan S Orange, Celine I Hanson, Nicholas L Rider

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. T-cell subsets inClinical & translational immunology · 2025
    Review
  2. Article
  3. Review
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 2 institutions in 1 country.

Xavier RiosCenter for Human Immunobiology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States.
Ivan K ChinnCenter for Human Immunobiology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States.
Jordan S OrangeCenter for Human Immunobiology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States.
Celine I HansonCenter for Human Immunobiology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States.
Nicholas L RiderCenter for Human Immunobiology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States.
Baylor College of Medicine · USTexas Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newborn screening for severe combined immunodeficiency has proven successful in identifying infants with T-cell deficiencies before they become severely ill. Additionally, the newborn screen can detect subtle early phenotypes that may become severe later in life. We present the case of siblings with features suggestive of T-cell lymphopenia identified as having low T-cell receptor excision circles counts by newborn screening. Expanded immune testing showed robust lymphocyte mitogen and antigen responses with normal vaccine responses and immunoglobulin levels for both boys over time. Genetic analysis revealed an Xq13.1 duplication in each child not found in the mother. The variant is downstream of the IL2RG gene with potential regulatory significance, suggesting a mechanism for the T-cell lymphopenia. The newborn screen provided these patients heightened surveillance and patient-specific management, including delayed live vaccines and

Indexed as

idiopathic T-cell lymphopenialymphopeniaprimary immunodeficiencysevere combined immunodeficiencyT-cell receptor excision circlesXq13.1

Identifiers

PMID28770187
PMCPMC5513981
OpenAlexW2737010308

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.