Evidence map›Paper›PMID 36760062›Full record

ArticleBrain injury2023

Comparison of self-reported lifetime concussions and mild traumatic brain injuries among adults.

Jill Daugherty, Kelly Sarmiento, Matthew Breiding

Abstract read
In one paragraph

Article in Brain injury, 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
–field-weighted citation impact
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.

  1. Observational
  2. Article
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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

3 authors.

Jill DaughertyDivision of Injury Prevention, Centers for Disease Control and Prevention (CDC), National Center for Injury Prevention and Control (NCIPC), Atlanta, Georgia, United States of America.
Kelly SarmientoDivision of Injury Prevention, Centers for Disease Control and Prevention (CDC), National Center for Injury Prevention and Control (NCIPC), Atlanta, Georgia, United States of America.
Matthew BreidingDivision of Injury Prevention, Centers for Disease Control and Prevention (CDC), National Center for Injury Prevention and Control (NCIPC), Atlanta, Georgia, United States of America.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionThe reliability of self-reported brain injury data relies on how well people interpret the questions.

objectiveThis study examines how different yet commonly used questions may impact traumatic brain injury (TBI) estimates.

methodsSelf-report data were collected from 4,053 respondents in the summer wave of Porter Novelli's 2020 ConsumerStyles survey. Respondents were randomized to be asked about lifetime experience of either concussion or mild TBI (mTBI) and then asked follow-up questions.

resultsApproximately 25.5% of respondents reported sustaining a concussion in their lifetime while 17.2% reported an mTBI. The circumstances of the injuries, such as location and mechanism of injury, were similar. A greater percentage of individuals who were asked about concussions (91.1%) reported receiving a diagnosis for their most serious injury compared to those who were asked about diagnosis of an mTBI (69.9%). DISCUSSION: A greater percentage of respondents reported a lifetime history of concussion than mTBI. More respondents with a lifetime history of concussion reported receiving a diagnosis. These results suggest that the terminology used can impact reporting. These findings suggest that there is a meaningful difference in the understanding of the terms 'concussion' and 'mild TBI,' with people perceiving mTBI as a more serious injury.

Indexed as

Concussionsurvey methodologytraumatic brain injury

Identifiers

PMID36760062
PMCPMC10409868

What OpenQuestion holds

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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.