Evidence map›Paper›PMID 26271389›Full record

ArticleJournal of clinical immunology2015

Validity of Primary Immunodeficiency Disease Diagnoses in United States Medicaid Data.

Hillary Hernandez-Trujillo, Jordan S Orange, Jason A Roy, Yanli Wang, Craig N Newcomb, Qing Liu, Sean Hennessy, Vincent Lo Re

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of clinical immunology, 2015. 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
0.8field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Clinical implications of systematic phenotyping and exome sequencing in patients with primary antibody deficiency.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  2. Article
  3. 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 3 institutions in 1 country.

Hillary Hernandez-TrujilloCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. hhernandez@connecticutchildrens.org.
Jordan S OrangeSection of Immunology, Allergy and Rheumatology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Jason A RoyCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Yanli WangCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Craig N NewcombCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Qing LiuCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sean HennessyCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Vincent Lo ReCenter for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USBaylor College of Medicine · USConnecticut Children's Medical Center · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Risk factors and prediction of liver disease in HIV/HCVK01AI070001 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LO RE, VINCENT · 2007 to 2011
$665k
NCATS NIH HHS 3UL1TR000003NIAID NIH HHS K01 AI070001
6 · The paper itself

Abstract

purposePrimary immunodeficiency diseases (PID) are a rare group of disorders with a wide array of clinical presentations. The absence of validated methods to identify these diseases in electronic databases has limited understanding of their epidemiology and the impact of drug therapies on outcomes. We measured the positive predictive values (PPVs) of ICD-9 diagnoses for identifying PID within US Medicaid.

methodsWe identified Medicaid patients from California, Florida, New York, Ohio, and Pennsylvania with PID ICD-9 diagnoses (common variable immunodeficiency [279.06], X-linked agammaglobulinemia [279.04], hyper-immunoglobulin M syndrome [279.05], Wiskott Aldrich Syndrome [279.12]) recorded at least twice from 1999 to 2007. Outpatient records were reviewed by a clinical immunologist to adjudicate diagnoses. PPVs with 95% confidence intervals (CIs) for confirmed outcomes were determined for individual ICD-9 diagnoses and combinations of diagnoses and Current Procedural Terminology codes for a quantitative immunoglobulin test (82784) or immunoglobulin infusion (96365).

resultsAmong 83 patients with PID ICD-9 diagnoses, 16 were adjudicated as having the condition (PPV, 19.3%; 95% CI, 11.4-29.4%). Individual ICD-9 diagnoses had low PPVs (range, 16.7-33.3%). Requiring procedural codes for quantitative immunoglobulins or intravenous immunoglobulin did not increase PPVs of these diagnoses (range, 11.1-41.7%). An X-linked agammaglobulinemia diagnosis plus intravenous immunoglobulin had the highest PPV among the algorithms evaluated (PPV, 41.7%; 95% CI, 15.1-72.3%).

conclusionsAlgorithms comprising PID ICD-9 diagnoses and procedures for quantitative immunoglobulin tests and immunoglobulin infusion had low PPVs for adjudicated diagnoses in Medicaid. Alternative data sources should be evaluated to study the epidemiology of these diseases.

Indexed as

AlgorithmsAmbulatory CareFemaleHumansImmunoglobulinsImmunologic Deficiency SyndromesInternational Classification of DiseasesMaleMedicaidMedical RecordsPredictive Value of TestsUnited StatesImmunoglobulinsepidemiologyintravenous immunoglobulinPIDPrimary immunodeficiency

Identifiers

PMID26271389
OpenAlexW1140794770

What OpenQuestion holds

Textmetadata
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.