Evidence map›Paper›PMID 36943658›Full record

ReviewOncology and therapy2023

Induction Therapy for Locally Advanced Head and Neck Squamous Cell Carcinoma.

Shuwen Zheng, Yumei Feng, Chan Li, Jie Zhang, Ke Xie

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Oncology and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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 at 2 institutions in 1 country.

Shuwen Zheng *Department of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West 2nd Section, First Ring Road, Chengdu City, Sichuan Province, China.
Yumei Feng *Department of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West 2nd Section, First Ring Road, Chengdu City, Sichuan Province, China.
Chan Li *Department of Oncology, Peoples Hospital of Xinjin, Chengdu, 611430, China.
Jie ZhangDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West 2nd Section, First Ring Road, Chengdu City, Sichuan Province, China.
Ke XieDepartment of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 32 West 2nd Section, First Ring Road, Chengdu City, Sichuan Province, China. mei97@sina.com.
University of Electronic Science and Technology of China · CNQinghai Provincial Peoples Hospital · CN

Funding

Chinese Society of Clinical Oncology 2020HX037
6 · The paper itself

Abstract

The optimal approach to locally advanced head and neck squamous cell carcinoma (LAHNSCC) treatment remains controversial. For non-resectable LAHNSCC, the clinical interest of induction chemotherapy followed by concurrent chemoradiotherapy (CCRT) or radiotherapy has been questioned. With the approval of immunotherapy and targeted therapy for this disease, treatment options have become more complex. Although new trial data have appeared every year, the results are still inconclusive. In this review, we provide readers with information on new strategies for LAHNSCC induction therapy, which will facilitate evidence-based decision making in LAHNSCC treatment.

Indexed as

BiomarkerICI therapyInduction therapyLAHNSCCTargeted therapy

Identifiers

PMID36943658
PMCPMC10260727
OpenAlexW4328048659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.