Evidence map›Paper›PMID 38495237›Full record

ArticleAnnals of Indian Academy of Neurology

The Pitfalls of NIHSS: Time for a New Clinical Acute Stroke Severity Scoring System in the Emergency?

Archita Makharia, Ayush Agarwal, Divyani Garg, Venugopalan Y Vishnu, M V Padma Srivastava

Abstract read
In one paragraph

Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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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

5 authors.

Archita MakhariaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Ayush AgarwalDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Divyani GargDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Venugopalan Y VishnuDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
M V Padma SrivastavaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is the second leading cause of death and a major cause of disability worldwide. Stroke severity scales serve as reliable means to track a patient's neurological deficit, predict outcome, and guide treatment decisions in clinical practice. The National Institute of Health Stroke Scale (NIHSS) was introduced over 30 years ago, marking a significant milestone in the field of stroke. Over the years, there have been notable advancements in acute stroke care. Despite several modifications made to NIHSS, none has yet succeeded in effectively capturing all the complex effects of a stroke. This review focuses on the pitfalls of NIHSS and emphasizes the need for a quick and comprehensive clinical and upgraded version of the stroke severity rating scale.

Indexed as

AcuteischemicmRSNIHSSstroke

Identifiers

PMID38495237
PMCPMC10941908

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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.