Evidence map›Paper›PMID 34125061›Full record

ArticleThe western journal of emergency medicine2021

Intracranial Traumatic Hematoma Detection in Children Using a Portable Near-infrared Spectroscopy Device.

Matthew P Kirschen, Sage R Myers, Mark I Neuman, Joseph A Grubenhoff, Rebekah Mannix, Nicholas Stence, Edward Yang, Ashley L Woodford, Tyson Rogers, Anna Nordell and 2 more

Open access · goldAbstract read
In one paragraph

Article in The western journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

12 authors at 6 institutions in 1 country.

Matthew P KirschenChildren's Hospital of Philadelphia, Department of Anesthesiology and Critical Care Medicine, Philadelphia, Pennsylvania.
Sage R MyersChildren's Hospital of Philadelphia, Department of Pediatrics, Philadelphia, Pennsylvania.
Mark I NeumanBoston Children's Hospital, Division of Emergency Medicine, Department of Pediatrics, Boston, Massachusetts.
Joseph A GrubenhoffUniversity of Colorado, Department of Pediatrics, Aurora, Colorado.
Rebekah MannixBoston Children's Hospital, Division of Emergency Medicine, Department of Pediatrics, Boston, Massachusetts.
Nicholas StenceChildren's Hospital Colorado, Department of Radiology, Aurora, Colorado.
Edward YangBoston Children's Hospital, Department of Radiology, Boston, Massachusetts.
Ashley L WoodfordCooper Medical School of Rowan University, Camden, New Jersey.
Tyson RogersNorth American Science Associates Inc., Minneapolis, Minnesota.
Anna NordellNorth American Science Associates Inc., Minneapolis, Minnesota.
Arastoo VossoughChildren's Hospital of Philadelphia, Department of Radiology, Philadelphia, Pennsylvania.
Mark R ZonfrilloAlpert Medical School of Brown University, Departments of Emergency Medicine and Pediatrics, Providence, Rhode Island.
Boston Children's Hospital · USChildren's Hospital of Philadelphia · USBrown University · USChildren's Hospital Colorado · USCooper Medical School of Rowan University · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe sought to validate a handheld, near-infrared spectroscopy (NIRS) device for detecting intracranial hematomas in children with head injury.

methodsEligible patients were those <18 years old who were admitted to the emergency department at three academic children's hospitals with head trauma and who received a clinically indicated head computed tomography (HCT). Measurements were obtained by a blinded operator in bilateral frontal, temporal, parietal, and occipital regions. Qualifying hematomas were a priori determined to be within the brain scanner's detection limits of >3.5 milliliters in volume and <2.5 centimeters from the surface of the brain. The device's measurements were positive if the difference in optical density between hemispheres was >0.2 on three successive scans. We calculated diagnostic performance measures with corresponding exact two-sided 95% Clopper-Pearson confidence intervals (CI). Hypothesis test evaluated whether predictive performance exceeded chance agreement (predictive Youden's index > 0).

resultsA total of 464 patients were enrolled and 344 met inclusion for primary data analysis: 10.5% (36/344) had evidence of a hematoma on HCT, and 4.7% (16/344) had qualifying hematomas. The handheld brain scanner demonstrated a sensitivity of 58.3% (21/36) and specificity of 67.9% (209/308) for hematomas of any size. For qualifying hematomas the scanner was designed to detect, sensitivity was 81% (13/16) and specificity was 67.4% (221/328). Predictive performance exceeded chance agreement with a predictive Youden's index of 0.11 (95% CI, 0.10 - 0.15; P < 0.001) for all hematomas, and 0.09 (95% CI, 0.08 - 0.12; P < 0.001) for qualifying hematomas.

conclusionThe handheld brain scanner can non-invasively detect a subset of intracranial hematomas in children and may serve an adjunctive role to head-injury neuroimaging decision rules that predict the risk of clinically significant intracranial pathology after head trauma.

Indexed as

Point-of-Care TestingBrainChildCraniocerebral TraumaEmergency Service, HospitalFemaleHumansIntracranial Hemorrhage, TraumaticMaleNeuroimagingPrognosisSpectroscopy, Near-InfraredTomography, X-Ray Computed

Identifiers

PMID34125061
PMCPMC8203002
OpenAlexW3152762333

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.