Evidence map›Paper›PMID 35073468›Full record

ArticleDiagnosis (Berlin, Germany)2022

Diagnostic delays in infectious diseases.

Manish Suneja, Susan E Beekmann, Gurpreet Dhaliwal, Aaron C Miller, Philip M Polgreen

Open access · greenAbstract read
In one paragraph

Article in Diagnosis (Berlin, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Methods for Conjugating Antibodies with Quantum Dots.Molecules (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Manish SunejaDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Susan E BeekmannDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Gurpreet DhaliwalDepartment of Medicine, University of California San Francisco School of Medicine, San Francisco, CA, USA.
Aaron C MillerDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
Philip M PolgreenDepartment of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
University of Iowa · USUniversity of California, San Francisco · US

Funding

Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Amy Leanne Ryan · 1998 to 2026
$30.5M
The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
An expert-guided machine-learning approach to estimate the incidence, risk and harms associated with diagnostic delays for infectious diseases.R01HS027375 · AHRQ · UNIVERSITY OF IOWA · PI KUNTZ, JENNIFER L., MILLER, AARON C · 2019 to 2021
$1.5M
AHRQ HHS R01 HS027375NCATS NIH HHS UL1 TR002537NIDDK NIH HHS P30 DK054759
6 · The paper itself

Abstract

objectivesDiagnostic delays are a major source of morbidity and mortality. Despite the adverse outcomes associated with diagnostic delays, few studies have examined the incidence and factors that influence diagnostic delays for different infectious diseases. The objective of this study was to understand the relative frequency of diagnostic delays for six infectious diseases commonly seen by infectious diseases (ID) consultants and to examine contributing factors for these delays.

methodsA 25-item survey to examine diagnostic delays in six infectious diseases was sent to all infectious diseases physicians in the Emerging Infections Network (EIN) who provide care to adult patients. Diseases included (1) tuberculosis, (2) non-tuberculous mycobacterial infections, (3) syphilis, (4) epidural abscess, (5) infective endocarditis, and (6) endemic fungal infections (e.g., histoplasmosis, blastomycosis).

resultsA total of 533 of 1,323 (40%) EIN members responded to the survey. Respondents perceived the diagnosis not being considered initially and the appropriate test not being ordered as the two most important contributors to diagnostic delays. Unusual clinical presentations and not consulting ID physicians early enough were also reported as a contributing factor to delays. Responses recorded in open-text fields also indicated errors related to testing as a likely cause of delays; specifically, test-related errors included ordering the wrong laboratory test, laboratory delays (specialized labs not available at the facility), and lab processing delays.

conclusionsDiagnostic delays commonly occur for the infectious diseases we considered. The contributing factors we identified are potential targets for future interventions to decrease diagnostic delays.

Indexed as

Communicable DiseasesPhysiciansAdultDelayed DiagnosisHumansReferral and ConsultationSurveys and Questionnairesconsultationdiagnostic delaysinfectious diseases

Identifiers

PMID35073468
PMCPMC9424060
OpenAlexW4207022964

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.