Evidence map›Paper›PMID 31372799›Full record

ArticleJournal of clinical immunology2019

How to Identify Common Variable Immunodeficiency Patients Earlier: General Practice Patterns.

Frederik V Ilkjær, Line D Rasmussen, Raquel Martin-Iguacel, Lena Westh, Terese L Katzenstein, Ann-Brit E Hansen, Thyge L Nielsen, Carsten S Larsen, Isik S Johansen

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In one paragraph

Article in Journal of clinical immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Diagnostic windows in non-neoplastic diseases: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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  8. Development of a primary care screening algorithm for the early detection of patients at risk of primary antibody deficiency.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023
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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 at 6 institutions in 1 country.

Frederik V IlkjærDepartment of Infectious Diseases, Odense University Hospital, J. B. Winsløws Vej 4, Odense, Denmark. Frederik.veitland.antonsen2@rsyd.dk.ORCID http://orcid.org/0000-0003-3647-7209
Line D RasmussenDepartment of Infectious Diseases, Odense University Hospital, J. B. Winsløws Vej 4, Odense, Denmark.
Raquel Martin-IguacelDepartment of Infectious Diseases, Odense University Hospital, J. B. Winsløws Vej 4, Odense, Denmark.
Lena WesthDepartment of Infectious Diseases, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, Aarhus, Denmark.
Terese L KatzensteinDepartment of Infectious Diseases, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, Copenhagen, Denmark.
Ann-Brit E HansenDepartment of Infectious Diseases, Hvidovre Hospital, Copenhagen University Hospital, Kettegaard Allé 30, Copenhagen, Denmark.
Thyge L NielsenDepartment of Pulmonary and Infectious Diseases, North Zealand Hospital, Dyrehavevej 29, Hilleroed, Denmark.
Carsten S LarsenDepartment of Infectious Diseases, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, Aarhus, Denmark.
Isik S JohansenDepartment of Infectious Diseases, Odense University Hospital, J. B. Winsløws Vej 4, Odense, Denmark.
Odense University Hospital · DKAarhus University Hospital · DKCopenhagen University Hospital · DKHvidovre Hospital · DKUniversity of Southern Denmark · DKZealand University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiagnostic delay is a major problem concerning common variable immunodeficiency (CVID). We aimed to determine the pattern of general practitioner (GP) consultations in individuals diagnosed with CVID within 3 years before the diagnosis and whether the risk of diagnosis was associated with the frequency of consultations or character of examinations.

methodsWe conducted a nested case-control study, identifying 132 adult CVID patients and 5940 age- and gender-matched controls from national registers during 1997-2013. We used conditional logistic regression to calculate the odds ratios (OR) and 95% confidence intervals (95%CI).

resultsThe median number of consultations among individuals with CVID was more than twice that of the controls in all 3 years (3rd, 10; 2nd, 11.5; and 1st, 15.4 vs. 4). We found a statistically significant association between the number of consultations and the risk of a subsequent CVID diagnosis, independent of age and gender, but strongest in the individuals < 40 years. In the 3rd year before diagnosis, having 9-15 consultations compared with 1-4 was associated with an OR (95%CI) of 5.0 (2.3-10.9), 2.4 (1.1-5.4), and 1.3 (0.3-5.3) for those aged 18-40, 41-60, and > 60, respectively. Several examinations (i.e., blood tests for inflammation/infection and pulmonary function test) were associated with increased odds of a subsequent CVID diagnosis.

conclusionThe risk of a CVID diagnosis was highly related to both the number of consultations and the character of examinations performed by the GP. CVID should be a differential diagnosis among patients with multiple consultations, especially in patients < 40 years old.

Indexed as

General PracticePractice Patterns, Physicians'AdolescentAdultAgedAge of OnsetCase-Control StudiesClinical Decision-MakingCommon Variable ImmunodeficiencyComorbidityDelayed DiagnosisDenmarkDisease ManagementEarly DiagnosisFemaleHumansconsultationsCVIDdiagnostic delayindicatorsPIDprimary health care

Identifiers

PMID31372799
OpenAlexW2965623610

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.