Evidence map›Paper›PMID 29713501›Full record

ArticleESMO open2018

Management of recurrent or metastatic thyroid cancer.

Makoto Tahara

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ESMO open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Changing Face ofFrontiers in surgery · 2020
    Pooled it
  3. Trial
  4. First-in-Human Study of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Trial
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  16. Quality of Information Available on YouTube Videos Pertaining to Thyroid Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020
    Article
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  18. Review
  19. Article
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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

1 author.

Makoto TaharaDepartment of Head and Neck Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan. Electronic address: matahara@east.ncc.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, vascular endothelial growth factor receptor (VEGFR)-targeted tyrosine kinase inhibitors (TKIs) have become available for the treatment of recurrent or metastatic thyroid cancer. However, a number of clinical challenges that impact the use of VEGFR-targeted TKI in daily clinical practice have arisen. Toxicity is considerable, to the extent that most physicians hesitate to start VEGFR-targeted TKI and prefer to continue a watch-and-wait approach until the patient's disease markedly worsens. This delayed use of VEGFR-targeted TKI leads to a higher incidence of serious adverse events than was reported in clinical trials. Moreover, the watch-and-wait approach has several demerits, including a worsening of quality of life, worsening of outcomes in patients of older age or with follicular thyroid cancer and increased risk of brain metastasis or bleeding. Thus, optimal timing for the start of VEGFR-targeted TKI requires careful consideration. Moreover, management of VEGFR-targeted TKI toxicities requires appropriate supportive care, well-organised infrastructure in the outpatient clinic and patient education. Future treatment will progress to precision medicine based on molecular testing. Promotion of precision medicine requires the establishment of a system of easy access to molecular testing and the promotion of translational research for the development of new drugs.

Indexed as

thyroid cancervegfr-targeted tki

Identifiers

PMID29713501
PMCPMC5922569

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.