Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 3,077

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Nasopharyngeal carcinoma

Chen, Yu-Pei, Chan, Anthony T C, Le, Quynh-Thu, Blanchard, Pierre, Sun, Ying, Ma, Jun·2019·The Lancet

Abstract

Nasopharyngeal carcinoma is characterised by distinct geographical distribution and is particularly prevalent in east and southeast Asia. Epidemiological trends in the past decade have shown that its incidence has declined gradually but progressively, and mortality has been reduced substantially. These findings probably reflect lifestyle and environmental changes, enhanced understanding of the pathogenesis and risk factors, population screening, advancements in imaging techniques, and individualised comprehensive chemoradiotherapy strategies. In particular, plasma Epstein-Barr virus (EBV) DNA has been used for population screening, prognostication, predicting treatment response for therapeutic adaptation, and disease surveillance. Moreover, the widespread application of intensity-modulated radiotherapy and optimisation of chemotherapy strategies (induction, concurrent, adjuvant) have contributed to improved survival with reduced toxicities. Among the existing developments in novel therapeutics, immune checkpoint therapies have achieved breakthroughs for treating recurrent or metastatic disease and represent a promising future direction in nasopharyngeal carcinoma.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s0140-6736(19)30956-0

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 82 references

Cited by

See all 3,077

Metadata

Authors
Chen, Y.-P., Chan, A. T. C., Le, Q.-T., Blanchard, P., Sun, Y., & Ma, J.
Venue
The Lancet
Publisher
Elsevier BV
Published
2019-07
Volume
394
Issue
10192
Pages
64-80
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W4211017340
Cited by
3,077
References
82
FWCI
203.75
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Nasopharyngeal carcinoma. https://app.cochat.ai/papers/10.1016/s0140-6736(19)30956-0
The paper
Chen, Y.-P., Chan, A. T. C., Le, Q.-T., Blanchard, P., Sun, Y., & Ma, J. (2019). Nasopharyngeal carcinoma. The Lancet. https://doi.org/10.1016/s0140-6736(19)30956-0

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.