Evidence map›Paper›PMID 41669607›Full record

ReviewCureus2026

Undifferentiated Nasopharyngeal Carcinoma in Low- and Middle-Income Countries: Clinical, Molecular, and Health-System-Related Challenges.

Rim Alami, Reyzane El Mjabber, Reda Alami, Asmaa Naim

Abstract readReview
In one paragraph

Review in Cureus, 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

4 authors.

Rim AlamiRadiation Oncology, Mohammed VI University of Health Sciences (UM6SS), Casablanca, MAR.
Reyzane El MjabberRadiation Oncology, Mohammed VI University of Health Sciences (UM6SS), Casablanca, MAR.
Reda AlamiRadiation Oncology, Mohammed VI University of Health Sciences (UM6SS), Casablanca, MAR.
Asmaa NaimRadiotherapy, International University Hospital Cheikh Khalifa, Mohammed VI University of Health Sciences (UM6SS), Casablanca, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undifferentiated nasopharyngeal carcinoma (UNPC) is a virally driven malignancy that disproportionately impacts low- and middle-income countries (LMICs). Although advances in MRI, intensity-modulated radiotherapy (IMRT), and plasma Epstein-Barr virus (EBV) DNA testing have substantially improved outcomes in well-resourced settings, significant diagnostic and therapeutic gaps remain across endemic LMIC regions. More than 70% of global UNPC cases occur in these settings, where delayed diagnosis, limited access to MRI and PET-CT, restricted availability of EBV DNA testing, and fragile radiotherapy capacity contribute to advanced-stage presentation and poorer survival. Molecular and proteomic analyses have identified clinically relevant UNPC subgroups, but their translation into routine care is constrained by inadequate laboratory infrastructure. Systemic therapy delivery is often compromised by drug shortages, logistical challenges, and financial barriers, while substantial psychosocial distress further undermines treatment adherence. UNPC outcomes reflect an interplay between tumor biology and broader health system inequities. Strengthening referral pathways, decentralizing diagnostic services, scaling EBV DNA testing, reinforcing radiotherapy infrastructure, and integrating supportive care represent feasible, high-impact strategies to reduce survival disparities in LMICs.

Indexed as

ebv dnahealth system disparitieslow and middle country (lmic)radiation and clinical oncologyundifferentiated nasopharyngeal carcinoma

Identifiers

PMID41669607
PMCPMC12884103

What OpenQuestion holds

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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.