Evidence map›Paper›PMID 36651586›Full record

ArticleHeadache2023

Developing multivariable models for predicting headache improvement in patients with acute post-traumatic headache attributed to mild traumatic brain injury: A preliminary study.

Lingchao Mao, Gina Dumkrieger, Dohyun Ku, Katherine Ross, Visar Berisha, Todd J Schwedt, Jing Li, Catherine D Chong

Open access · greenAbstract read
In one paragraph

Article in Headache, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Review
  3. Review
  4. Review
  5. Article
  6. 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 4 institutions in 1 country.

Lingchao MaoSchool of Industrial and Systems Engineering, Georgia Tech, Atlanta, Georgia, USA.
Gina DumkriegerDepartment of Neurology, Mayo Clinic, Phoenix, Arizona, USA.
Dohyun KuSchool of Industrial and Systems Engineering, Georgia Tech, Atlanta, Georgia, USA.
Katherine RossPhoenix VA Health Care System, Phoenix, Arizona, USA.
Visar BerishaASU-Mayo Center for Innovative Imaging, Phoenix, Arizona, USA.
Todd J SchwedtDepartment of Neurology, Mayo Clinic, Phoenix, Arizona, USA.
Jing LiSchool of Industrial and Systems Engineering, Georgia Tech, Atlanta, Georgia, USA.
Catherine D ChongDepartment of Neurology, Mayo Clinic, Phoenix, Arizona, USA.ORCID 0000-0002-9035-8748
Georgia Institute of Technology · USWinnMed · USArizona State University · USPhoenix VA Health Care System · US

Funding

Biomarker Signature to Predict the Persistence of Post-Traumatic HeadacheR61NS113315 · NINDS · MAYO CLINIC ARIZONA · PI CHONG, CATHERINE DANIELA · 2019 to 2019
$3.2M
Biomarker Signature to Predict the Persistence of Post-Traumatic HeadacheR33NS113315 · NINDS · MAYO CLINIC ARIZONA · PI CHONG, CATHERINE DANIELA · 2023 to 2024
$2.1M
NINDS NIH HHS 1R61NS113315-01NINDS NIH HHS R33 NS113315NINDS NIH HHS R61 NS113315
6 · The paper itself

Abstract

OBJECTIVES/

backgroundPost-traumatic headache (PTH) is a common symptom after mild traumatic brain injury (mTBI). Although there have been several studies that have used clinical features of PTH to attempt to predict headache recovery, currently no accurate methods exist for predicting individuals' improvement from acute PTH. This study investigated the utility of clinical questionnaires for predicting (i) headache improvement at 3 and 6 months, and (ii) headache trajectories over the first 3 months.

methodsWe conducted a clinic-based observational longitudinal study of patients with acute PTH who completed a battery of clinical questionnaires within 0-59 days post-mTBI. The battery included headache history, symptom evaluation, cognitive tests, psychological tests, and scales assessing photosensitivity, hyperacusis, insomnia, cutaneous allodynia, and substance use. Each participant completed a web-based headache diary, which was used to determine headache improvement.

resultsThirty-seven participants with acute PTH (mean age = 42.7, standard deviation [SD] = 12.0; 25 females/12 males) completed questionnaires at an average of 21.7 (SD = 13.1) days post-mTBI. The classification of headache improvement or non-improvement at 3 and 6 months achieved cross-validation area under the curve (AUC) of 0.72 (95% confidence interval [CI] 0.55 to 0.89) and 0.84 (95% CI 0.66 to 1.00). Sub-models trained using only the top five features still achieved 0.72 (95% CI 0.55 to 0.90) and 0.77 (95% CI 0.52 to 1.00) AUC. The top five contributing features were from three questionnaires: Pain Catastrophizing Scale total score and helplessness sub-domain score; Sports Concussion Assessment Tool Symptom Evaluation total score and number of symptoms; and the State-Trait Anxiety Inventory score. The functional regression model achieved

conclusionQuestionnaires completed following mTBI have good utility for predicting headache improvement at 3 and 6 months in the future as well as the evolving headache trajectory. Reducing the battery to only three questionnaires, which assess post-concussive symptom load and biopsychosocialecologic factors, was helpful to determine a reasonable prediction accuracy for headache improvement.

Indexed as

Brain ConcussionPost-Concussion SyndromePost-Traumatic HeadacheAdultFemaleHeadacheHumansLongitudinal StudiesMaleheadache diaryheadache frequencymild traumatic brain injurypost-traumatic headachepredictive modeling

Identifiers

PMID36651586
PMCPMC10316772
OpenAlexW4317211157

What OpenQuestion holds

Textmetadata
LicenceTDM
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.