Evidence map›Paper›PMID 40027220›Full record

ReviewArchives of academic emergency medicine2025

Optic Nerve Sheath Diameter in Predicting the Neurological Outcomes of Cardiac Arrest Survivors: A Systematic Review and Meta-analysis.

Parisa Jafari Khouzani, Erfan Rahmani, Mehdi Rezaei, Sasan Pohrbagher Benam, Atousa Moghadam Fard, Reza Amani-Beni, Maziar Daneshvar, Faezeh Jalayer Sarnaghy, Naghme Masoomi Goodarzi, Ramila Abedi Azar and 27 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

37 authors.

Parisa Jafari KhouzaniERIS Research Institute, Tehran, Iran.
Erfan RahmaniSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mehdi RezaeiDepartment of Cardiology, Fars-Iranian Heart Association , Fars Society of Internal Medicine, Shiraz, Iran.
Sasan Pohrbagher BenamERIS Research Institute, Tehran, Iran.
Atousa Moghadam FardERIS Research Institute, Tehran, Iran.
Reza Amani-BeniSchool of Medicine, Isfahan University of Medical Sciences, Tehran, Iran.
Maziar DaneshvarDepartment of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Faezeh Jalayer SarnaghyERIS Research Institute, Tehran, Iran.
Naghme Masoomi GoodarziDepartment of Pediatrics, School of medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ramila Abedi AzarLaboratory for Robotic Research, Iran University of Science and Technology, Tehran, Iran.
Amirhossein MirbolookERIS Research Institute, Tehran, Iran.
Peyman BashgharehERIS Research Institute, Tehran, Iran.
Elham BibakERIS Research Institute, Tehran, Iran.
Babak GoodarziSchool of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Zahra SalarinezhadERIS Research Institute, Tehran, Iran.
Reza ZahedpashaDepartment of Radiology, School of Medicine, 5th Azar Hospital, Gorgan, Golestan, Iran.
Marzieh HajizamanIslamic Azad University of Isfahan (Khorasgan) Branch, Isfahan, Iran.
Negar Pourhossein RahmaniERIS Research Institute, Tehran, Iran.
Azam DarvishiContact Lens and Visual Optics Laboratory, Centre for Vision and Eye Research, Optometry and Vision Science, Queensland University of Technology, Brisbane, 4059, Australia.
Alireza HadizadehERIS Research Institute, Tehran, Iran.
Fatemeh ZandiMashhad University of Medical Sciences, Mashhad, Iran.
Ashkan AziziERIS Research Institute, Tehran, Iran.
Armin NaderiERIS Research Institute, Tehran, Iran.
Sepideh Shah HosseiniERIS Research Institute, Tehran, Iran.
Asie SanjaryERIS Research Institute, Tehran, Iran.
Mozhdeh Mohammadi VisroudiERIS Research Institute, Tehran, Iran.
Habibollah AfshangERIS Research Institute, Tehran, Iran.
Seyedsaber MirabdaliERIS Research Institute, Tehran, Iran.
Navid FathalianERIS Research Institute, Tehran, Iran.
Pouria MomeniERIS Research Institute, Tehran, Iran.
Mahsan ValizadehERIS Research Institute, Tehran, Iran.
Fateme NozariERIS Research Institute, Tehran, Iran.
Hamed GhorbaniDepartment of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
Sanam MohammadzadehResearch Center for Evidence-Based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyed Kiavash SajadiERIS Research Institute, Tehran, Iran.
Azam AbdollahiSchool of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehrdad FarrokhiMen's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous studies have investigated different methods for estimating neurological outcomes after cardiac arrest. However, there is still much uncertainty about using optic nerve sheath diameter (ONSD) measurement as an indirect method for predicting neurological outcomes following cardiac arrest. In this meta-analysis, we aimed to investigate the value of ONSD for predicting the neurological outcomes of cardiac arrest survivors. Methods: We comprehensively performed a systematic search in three main electronic databases, including Scopus, Medline, and Web of Science Cochrane, from inception to August 2024. Based on the heterogeneity evaluation results, fixed or random effects models were used to estimate the pooled diagnostic parameters. Meta-regressions were performed for subgroup analysis. Results: The pooled sensitivity and specificity of ONSD for predicting the neurological outcomes were 0.56 (95% CI, 0.35-0.74) and 0.92 (95% CI, 0.85-0.96), respectively. Meta-regression revealed that as the cutoff level of ONSD increases, the sensitivity significantly decreases (P < 0.01), while the specificity significantly increases (P = 0.01). Furthermore, meta-regression analysis revealed that ONSD measurement using CT scans is significantly associated with lower sensitivity and higher specificity compared to ultrasound (P = 0.009 and P = 0.01). Conclusion: Our meta-analysis showed that ONSD has low sensitivity and high specificity for predicting neurological outcomes in survivors of cardiac arrest. However, since the cut-off values and methods of ONSD measurement affect its predictive performance, further studies will be required to standardize these factors to achieve optimal predictive parameters.

Indexed as

Diagnostic TechniquesHeart ArrestMeta-analysisNeurologicalOptic NervePrognosis

Identifiers

PMID40027220
PMCPMC11868668

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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.