Evidence map›Paper›PMID 31248312›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2019

Number needed to treat: A primer for neurointerventionalists.

Juan Carlos Martinez-Gutierrez, Thabele Leslie-Mazwi, Ronil V Chandra, Kevin L Ong, Raul G Nogueira, Mayank Goyal, Felipe C Albuquerque, Joshua A Hirsch

Abstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Are we improving? Temporal trends in outcomes for mechanical thrombectomy for stroke: A systematic review and meta-analysis of randomized trials.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
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  8. Racial and Ethnic Disparities in Stroke Reperfusion Therapy in the USA.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  9. Acute ischemic stroke treatment model for Poland in the mechanical thrombectomy era - which way to go?Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Number Needed to Treat with Vertebral Augmentation to Save a Life.AJNR. American journal of neuroradiology · 2020
    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

8 authors.

Juan Carlos Martinez-GutierrezDepartment of Neurology, Massachusetts General Hospital, Brigham and Women's Hospital, Boston, USA.ORCID https://orcid.org/0000-0002-6722-8267
Thabele Leslie-MazwiNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
Ronil V ChandraNeuro-Interventional Radiology, Monash Imaging, Monash Health, Monash University, Melbourne, Australia.
Kevin L OngExponent, Inc., Philadelphia, USA.
Raul G NogueiraNeuroendovascular Service, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, USA.
Mayank GoyalDiagnostic and Interventional Neuroradiology, Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Canada.
Felipe C AlbuquerqueEndovascular Neurosurgery, Barrow Neurological Institute, Phoenix, USA.
Joshua A HirschNeurointerventional Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number needed to treat is a commonly used statistical term in modern neurointerventional practice. It represents the number of patients that need to be treated for one patient to benefit from an intervention. Given its growing popularity in reflecting study results, understanding the basics behind this statistic is of practical value to the neurointerventionalist.

methodsHere, we review the basic theory and calculation of the number needed to treat, its application to stroke interventions, and its limitations. In addition, we demonstrate several simple methods of calculating the number needed to treat utilizing recent thrombectomy trial results. By presenting the number needed to treat as a universal metric, we provide a comprehensive comparative of the number needed to treat for key stroke therapies, including mechanical thrombectomy, tissue plasminogen activator, carotid endarterectomy, and prevention with antiplatelet and statin drugs.

conclusionsIn comparison with available stroke therapies, mechanical thrombectomy stands out as the most effective acute intervention in patients with emergent large-vessel occlusions. Understanding how the number needed to treat is derived and its implications helps provide perspective to clinical trial data, identify health-care resource priorities, and improve communication with patients, health-care providers, and additional key stakeholders.

Indexed as

NeuroimagingResearch DesignStatistics as TopicAlgorithmsClinical Trials as TopicHumansSample SizeStrokeInterventional neuroradiologystatisticsstroke

Identifiers

PMID31248312
PMCPMC6838845

What OpenQuestion holds

Textmetadata
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.