Evidence map›Paper›PMID 39465060›Full record

ReviewArchives of academic emergency medicine2025

Near Infrared Spectroscopy as a Diagnostic Tool for Screening of Intracranial Hematomas; A Systematic Review and Meta-Analysis.

Hamed Zarei, Amirali Zarrin, Mahrokh Janmohamadi, Narges Saadatipour, Mobina Yarahmadi, Mohammadmobin Moeini, Shireen Shams Ardekani, Ali Safdarian, Mohammadhossein Vazirizadeh-Mahabadi, Mohammadhossein Babaei and 5 more

Abstract readReview
In one paragraph

Review in Archives of academic emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

15 authors.

Hamed ZareiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Amirali ZarrinPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mahrokh JanmohamadiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Narges SaadatipourPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mobina YarahmadiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammadmobin MoeiniPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Shireen Shams ArdekaniPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Ali SafdarianPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammadhossein Vazirizadeh-MahabadiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammadhossein BabaeiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Negin BagheriPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Amirhossein GholipourSchool of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammadreza AzadiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Soraya ParvariDepartment of Anatomical Sciences, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
Amir AzimiPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Evidence supports the clinical applicability of near-infrared spectroscopy (NIRS) in intracranial hematoma detection in prehospital settings. This systematic review and meta-analysis aimed to determine the diagnostic yield of NIRS for detecting intracranial hematoma in traumatic brain injury (TBI) patients. Methods: A systematic search was performed in July 2024 in Medline, Embase, Scopus, and Web of Science databases. We included studies that evaluated the diagnostic performance of NIRS in detecting intracranial hematoma in both adult and pediatric patients suspected of TBI in prehospital or emergency settings, using brain computed tomography (CT) scan or magnetic resonance imaging as the gold standard. Results: Eighteen studies enrolling 2979 patients were included. NIRS exhibited an Area Under the Curve (AUC) of 0.91 (95% confidence interval [CI]: 0.88, 0.93), with a sensitivity of 0.86 (95% CI: 0.78, 0.91), and specificity of 0.82 (95% CI: 0.72, 0.89) across all age groups. In children, the results demonstrated an AUC of 0.92 (95% CI: 0.89, 0.94), sensitivity of 0.95 (95% CI: 0.21, 1.00), and specificity of 0.81 (95% CI: 0.65, 0.91). Among adults, the AUC was 0.91 (95% CI: 0.88, 0.93), with sensitivity and specificity of 0.86 (95% CI: 0.78, 0.92) and 0.83 (95% CI: 0.70, 0.91), respectively. Performance improved when NIRS was operated by non-physicians (AUC = 0.94 [95% CI: 0.91, 0.96], sensitivity = 0.90 [95% CI: 0.79, 0.95], specificity = 0.85 [95% CI: 0.71, 0.93]) compared to physicians (AUC = 0.90 [95% CI: 0.87, 0.92], sensitivity = 0.88 [95% CI: 0.77, 0.94], specificity = 0.75 [95% CI: 0.59, 0.76]). Patients' age group and operator type were identified as potential sources of heterogeneity. Sensitivity analyses confirmed the robustness of the findings, particularly in mild TBI cases and studies implementing a ΔOD > 0.2 as the threshold for a positive NIRS result. Conclusion: NIRS proves to be an effective diagnostic tool for detecting traumatic intracranial hematoma in both pediatric and adult groups, with high sensitivity and specificity. Its utility in prehospital triage, operated by physicians or paramedics, underscores its potential for broader clinical application.

Indexed as

Brain injuriesHematomaintracranialIntracranial hemorrhageIntracranial hemorrhagesnear-infraredSpectroscopysubduraltraumatic

Identifiers

PMID39465060
PMCPMC11512719

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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.