Evidence map›Paper›PMID 36742055›Full record

ArticleFrontiers in neurology2022

Predictors of 30-day mortality among patients with stroke admitted at a tertiary teaching hospital in Northwestern Tanzania: A prospective cohort study.

Sarah Shali Matuja, Gilbert Mlay, Fredrick Kalokola, Patrick Ngoya, Jemima Shindika, Lilian Andrew, Joshua Ngimbwa, Rashid Ali Ahmed, Basil Tumaini, Khuzeima Khanbhai and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Classifying neurogenic dysphagia as a movement disorder.Brain : a journal of neurology · 2025
    Review
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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

14 authors at 6 institutions in 3 countries.

Sarah Shali MatujaDepartment of Internal Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Gilbert MlayDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.
Fredrick KalokolaDepartment of Internal Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Patrick NgoyaDepartment of Internal Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Jemima ShindikaDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.
Lilian AndrewDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.
Joshua NgimbwaDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.
Rashid Ali AhmedDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States.
Basil TumainiDepartment of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Khuzeima KhanbhaiDepartment of Cardiology, Jakaya Kikwete Cardiac Institute, Dar es Salaam, Tanzania.
Reuben MutagaywaDepartment of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Mohamed ManjiDepartment of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Faheem SheriffDepartment of Neurology, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, El Paso, TX, United States.
Karim MahawishStroke Medicine Department, Counties Manukau Health, Auckland, New Zealand.
Bugando Medical Centre · TZCatholic University of Health and Allied Sciences · TZMuhimbili University of Health and Allied Sciences · TZCounties Manukau District Health Board · NZHarvard University · USTexas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is the second leading cause of death worldwide, with the highest mortality rates in low- to middle-income countries, particularly in sub-Saharan Africa. We aimed to investigate the predictors of 30-day mortality among patients with stroke admitted at a tertiary teaching hospital in Northwestern Tanzania. Methods: This cohort study recruited patients with the World Health Organization's clinical definition of stroke. Data were collected on baseline characteristics, the degree of neurological impairment at admission (measured using the National Institutes of Health Stroke Scale), imaging and electrocardiogram (ECG) findings, and post-stroke complications. The modified Rankin scale (mRS) was used to assess stroke outcomes. Kaplan-Meier analysis was used to describe survival, and the Cox proportional hazards model was used to examine predictors of mortality. Results: A total of 135 patients were enrolled, with a mean age of 64.5 years. Hypertension was observed in 76%, and 20% were on regular anti-hypertensive medications. The overall 30-day mortality rate was 37%. Comparing patients with hemorrhagic and ischemic stroke, 25% had died by day 5 [25th percentile survival time (in days): 5 (95% CI: 2-14)] versus day 23 [25th percentile survival time (in days): 23 (95% CI: 11-30) (log-rank Conclusion: Stroke is associated with a high 30-day mortality rate in Northwestern Tanzania. Concerted efforts are warranted in managing patients with stroke, with particular attention to individuals with severe strokes, ECG abnormalities, and swallowing difficulties to reduce early morbidity and mortality.

Indexed as

morbiditymortalitypredictorsstrokeTanzania

Identifiers

PMID36742055
PMCPMC9889987
OpenAlexW4317107905

What OpenQuestion holds

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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.