Evidence map›Paper›PMID 33205244›Full record

ArticleJournal of clinical immunology2021

Infection Phenotypes Among Patients with Primary Antibody Deficiency Mined from a US Patient Registry.

Grant Pickett, Tina Motazedi, Carleigh Kutac, Gina Cahill, Charlotte Cunnigham-Rundles, Ramsay L Fuleihan, Kathleen E Sullivan, Nicholas L Rider

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In one paragraph

Article in Journal of clinical immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 43% 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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

8 authors at 6 institutions in 1 country.

Grant Pickett *Department of Internal Medicine, Baylor College of Medicine, Houston, TX, USA.
Tina Motazedi *Department of Allergy & Immunology, The Massachusetts General Hospital, Boston, MA, USA.
Carleigh KutacBaylor St. Luke Medical Center, Houston, TX, USA.
Gina CahillTexas Children's Hospital, Section of Immunology, Allergy & Retrovirology, Baylor College of Medicine, Houston, TX, USA.
Charlotte Cunnigham-RundlesDepartment of Medicine, Division of Allergy and Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ramsay L FuleihanNew York-Presbyterian, Morgan Stanley Children's Hospital, Department of Pediatrics, Division of Allergy, Immunology and Rheumatology, Columbia University Irving Medical Center, New York, NY, USA.
Kathleen E SullivanDivision of Allergy Immunology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Nicholas L RiderTexas Children's Hospital, Section of Immunology, Allergy & Retrovirology, Baylor College of Medicine, Houston, TX, USA. nlrider@bcm.edu.ORCID 0000-0003-2549-0678
Baylor College of Medicine · USChildren's Hospital of Philadelphia · USIcahn School of Medicine at Mount Sinai · USMassachusetts General Hospital · USMorgan Stanley Children's Hospital · USSt. Luke's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrimary immunodeficiency disorders (PIDs) affect immune system development and/or function, increase infection susceptibility, and cause dysregulation or both. Recognition of PID requires assessment about the normal state of infection frequency and microbiology. To help clarify infection characteristics, we use data mined from the US Immunodeficiency Network (USIDNET) registry among primary antibody deficiency (PAD) patients before diagnosis.

methodsWe analyzed PAD patient data from the USIDNET registry prior to ultimate diagnosis. Our analysis included basic descriptive statistics for 8 major infection subtypes and significance testing for comparing infection rate by specific organisms across 7 distinct PAD subtypes.

resultsOf 2038 patients reviewed, 1259 (61.8%) had infections reported prior to diagnosis. Most (77.4%) had four or less reported infections prior to diagnosis; however, some suffered up to 16 infections. Infection patterns differed across the PAD subtypes. Patients with agammaglobulinemia differed significantly from patients with all other forms of PAD studied in at least one infection category, whereas patients with CVID differed from 3 other PAD categories in at least one infection category. Patterns of infections in patients with hypogammaglobulinemia, specific antibody deficiency, and transient hypogammaglobulinemia were less unique. For each of the infection types, bacteria were the most prevalent cause of disease.

conclusionsOur data shows that distinct subtypes of PAD display unique infection patterns. We also show that patients with agammaglobulinemia suffer more invasive infections and differ most significantly from all other forms of PAD studied. Our analysis has broad implications about infection surveillance, progression, and vulnerability by PAD subtype.

Indexed as

AgammaglobulinemiaFemaleHumansImmunologic Deficiency SyndromesInfectionsMalePhenotypePrimary Immunodeficiency DiseasesRegistriesRetrospective StudiesAntibody deficiencyEpidemiologyPhenotypePrimary immunodeficiencyRegistryUSIDNET

Identifiers

PMID33205244
OpenAlexW3098581923

What OpenQuestion holds

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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.