Evidence map›Paper›PMID 36895248›Full record

ReviewSurgical neurology international2023

Outcome measures in neurosurgery: Is a unified approach better? A literature review.

Hagar A Algburi, Mustafa Ismail, Saad I Mallah, Linah S Alduraibi, Sama Albairmani, Aanab O Abdulameer, Abdulaziz Saad Alayyaf, Zaid Aljuboori, Norberto Andaluz, Samer S Hoz

Abstract readReview
In one paragraph

Review in Surgical neurology international, 2023. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Hagar A AlgburiDepartment of Neurosurgery, University of Baghdad, College of Medicine, Al Risafa, Baghdad, Iraq.
Mustafa IsmailDepartment of Neurosurgery, University of Baghdad, College of Medicine, Al Risafa, Baghdad, Iraq.
Saad I MallahDepartment of Neurosurgery, School of Medicine, Royal College of Surgeons in Ireland - Bahrain, Busaiteen, Bahrain.
Linah S AlduraibiDepartment of Neurosurgery, Sulaiman Al Rajhi University, College of Medicine, Al Bukayriyah, Saudi Arabia.
Sama AlbairmaniDepartment of Neurosurgery, Al_Iraqia University, College of Medicine, Al Risafa, Baghdad, Iraq.
Aanab O AbdulameerDepartment of Neurosurgery, University of Baghdad, College of Medicine, Al Risafa, Baghdad, Iraq.
Abdulaziz Saad AlayyafDepartment of Neurosugery, Prince Sattam Bin Abdulaziz University, College of Medicine, Al Kharj - Riyadh, Saudi Arabia.
Zaid AljubooriDepartment of Neurosurgery, University of Wisconsin-Madison, Wisconsin, United States.
Norberto AndaluzDepartment of Neurosurgery, University of Cincinnati, Cincinnati, Ohio, United States.
Samer S HozDepartment of Neurosurgery, University of Cincinnati, Cincinnati, Ohio, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate assessment and evaluation of health interventions are crucial to evidence-based care. The use of outcome measures in neurosurgery grew with the introduction of the Glasgow Coma Scale. Since then, various outcome measures have appeared, some of which are disease-specific and others more generally. This article aims to address the most widely used outcome measures in three major neurosurgery subspecialties, "vascular, traumatic, and oncologic," focusing on the potential, advantages, and drawbacks of a unified approach to these outcome measures. Methods: A literature review search was conducted by using PubMed MEDLINE and Google scholar Databases. Data for the three most common outcome measures, The Modified Rankin Scale (mRS), The Glasgow Outcome Scale (GOS), and The Karnofsky Performance Scale (KPS), were extracted and analyzed. Results: The original objective of establishing a standardized, common language for the accurate categorization, quantification, and evaluation of patients' outcomes has been eroded. The KPS, in particular, may provide a common ground for initiating a unified approach to outcome measures. With clinical testing and modification, it may offer a simple, internationally standardized approach to outcome measures in neurosurgery and elsewhere. Based on our analysis, Karnofsky's Performance Scale may provide a basis of reaching a unified global outcome measure. Conclusion: Outcome measures in neurosurgery, including mRS, GOS, and KPS, are widely utilized assessment tools for patients' outcomes in various neurosurgical specialties. A unified global measure may offer solutions with ease of use and application; however, there are limitations.

Indexed as

Oncologic neurosurgeryOutcome measuresTraumatic neurosurgeryUnified scaleVascular neurosurgery

Identifiers

PMID36895248
PMCPMC9990809

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Registered trials

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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.