Evidence map›Paper›PMID 37349818›Full record

ArticleOrphanet journal of rare diseases2023

The evolution of the mitochondrial disease diagnostic odyssey.

John L P Thompson, Amel Karaa, Hung Pham, Philip Yeske, Jeffrey Krischer, Yi Xiao, Yuelin Long, Amanda Kramer, David Dimmock, Amy Holbert and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Mainstreaming genomic testing for mitochondrial disease in Australia.European journal of human genetics : EJHG · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

John L P ThompsonDepartment of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, USA. jlt12@columbia.edu.ORCID 0000-0002-5089-0967
Amel KaraaDivision of Genetics, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Hung PhamDepartment of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, USA.
Philip YeskeUnited Mitochondrial Disease Foundation, Pittsburgh, PA, USA.
Jeffrey KrischerUniversity of South Florida Health Informatics Institute, Tampa, FL, USA.
Yi XiaoDepartment of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, USA.
Yuelin LongDepartment of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, USA.
Amanda KramerDepartment of Population and Family Health, Mailman School of Public Health, Columbia University, New York, USA.
David DimmockCreyon Bio, San Diego, CA, USA.
Amy HolbertTampa General Hospital, Tampa, FL, USA.
Cliff GorskiUnited Mitochondrial Disease Foundation, Pittsburgh, PA, USA.
Kristin M EngelstadDepartment of Neurology, Columbia University Irving Medical Center, New York, USA.
Richard BuchsbaumDepartment of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, USA.
Xiomara Q RosalesDepartment of Neurology, Columbia University Irving Medical Center, New York, USA.
Michio HiranoDepartment of Neurology, Columbia University Irving Medical Center, New York, USA.
Columbia University Irving Medical Center · USUniversity of Pittsburgh at Greensburg · USColumbia University · USHarvard University · USTampa General Hospital · USUniversity of South Florida · US

Funding

The North American Mitochondrial Disease Consortium (NAMDC)U54NS078059 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HIRANO, MICHIO · 2011 to 2023
$17.5M
NINDS NIH HHS U54 NS078059
6 · The paper itself

Abstract

backgroundMitochondrial diseases often require multiple years and clinicians to diagnose. We lack knowledge of the stages of this diagnostic odyssey, and factors that affect it. Our goals are to report the results of the 2018 Odyssey2 (OD2) survey of patients with a medical diagnosis of mitochondrial disease; and to propose steps to reduce the odyssey going forward, and procedures to evaluate them.

methodsData are from the NIH-funded NAMDC-RDCRN-UMDF OD2 survey (N = 215). The main outcomes are Time from symptom Onset to mitochondrial disease Diagnosis (TOD) and Number of Doctors Seen during this diagnostic process (NDOCS).

resultsExpert recoding increased analyzable responses by 34% for final mitochondrial diagnosis and 39% for prior non-mitochondrial diagnosis. Only one of 122 patients who initially saw a primary care physician (PCP) received a mitochondrial diagnosis, compared to 26 of 86 (30%) who initially saw a specialist (p < 0.001). Mean TOD overall was 9.9 ± 13.0 years, and mean NDOCS 6.7 ± 5.2. Mitochondrial diagnosis brings extensive benefits through treatment changes and increased membership in and support of advocacy groups.

conclusionsBecause TOD is long and NDOCS high, there is great potential for shortening the mitochondrial odyssey. Although prompt patient contact with primary mitochondrial disease specialists, or early implementation of appropriate tests, may shorten the diagnostic odyssey, specific proposals for improvement require testing and confirmation with adequately complete, unbiased data across all its stages, and appropriate methods. Electronic Health Record (EHRs) may help by accessing diagnostic codes early, but their reliability and diagnostic utility have not been established for this group of diseases.

Indexed as

Mitochondrial DiseasesHumansReproducibility of Results

Identifiers

PMID37349818
PMCPMC10288668
OpenAlexW4381686627

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.