Evidence map›Paper›PMID 42857871›Full record

ReviewAsian journal of neurosurgery2026

Neuroendovascular Interventions and Stroke Care in Tajikistan: A Comprehensive Review of Emerging Capacity, Systemic Challenges, and Regional Implications.

Kalimullah Jan, Marifat Sulaymonova

Abstract readReview
In one paragraph

Review in Asian journal of neurosurgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kalimullah JanDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States.
Marifat SulaymonovaDushanbe, Tajikistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This article evaluates the current state of stroke management and neuroendovascular services in Tajikistan, identifying key barriers, recent advancements, and strategies for improvement within a regional context. Materials and Methods: This narrative review integrates data from peer-reviewed publications, international health repositories (Global Burden of Disease, World Health Organization, World Bank), Tajik governmental policies, and Central Asian health analyses. Sources were chosen for relevance to stroke epidemiology, health care infrastructure, neuroendovascular capabilities, and policy environments. Results: Tajikistan experiences a high stroke incidence and mortality, primarily attributable to uncontrolled hypertension, environmental pollutants, and suboptimal dietary patterns. Health care limitations encompass prolonged prehospital response times, restricted diagnostic imaging, personnel deficiencies, and nascent rehabilitation frameworks. Neuroendovascular procedures commenced in 2025 with a single case of initial aneurysm embolization and stroke mechanical thrombectomy, thus far, at a single facility in Dushanbe. National initiatives prioritize noncommunicable disease mitigation and primary health care enhancement, while cross-border collaborations and telemedicine present viable options for capacity expansion. Conclusion: Although Tajikistan's stroke and neuroendovascular sectors are underdeveloped, targeted enhancements in education, equipment, emergency protocols, and global alliances could substantially improve patient outcomes. These insights may also apply to neighboring Central Asian nations.

Indexed as

Central Asiahealth systemsLMICsneuroendovascularstrokeTajikistanthrombectomy

Identifiers

PMID42857871
PMCPMC13652603

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.