Evidence map›Paper›PMID 35088293›Full record

ArticleEndocrine2022

A proposed clinical scoring system for initiation of lenvatinib treatment in radioiodine-refractory thyroid cancer patients.

Naoki Fukuda, Kazuhisa Toda, Shohei Udagawa, Akihiro Ohmoto, Ryosuke Oki, Hirotaka Suto, Xiaofei Wang, Naomi Hayashi, Tetsuya Urasaki, Yasuyoshi Sato and 5 more

Abstract read
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In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Guideline
  2. Neutrophil-To-Lymphocyte Ratio as a Prognostic Indicator in Thyroid Cancer.Cancer control : journal of the Moffitt Cancer Center
    Pooled it
  3. Management of follicular thyroid carcinoma.European thyroid journal · 2024
    Review
  4. Article
  5. Review
  6. 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

15 authors at 2 institutions in 1 country.

Naoki FukudaDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan. naoki.fukuda@jfcr.or.jp.ORCID http://orcid.org/0000-0002-5475-9309
Kazuhisa TodaDepartment of Head and Neck Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Shohei UdagawaDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Akihiro OhmotoDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Ryosuke OkiDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Hirotaka SutoDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Xiaofei WangDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Naomi HayashiDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Tetsuya UrasakiDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Yasuyoshi SatoDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Kenji NakanoDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Makiko OnoDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Junichi TomomatsuDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiroki MitaniDepartment of Head and Neck Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Shunji TakahashiDepartment of Medical Oncology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
The Cancer Institute Hospital · JPHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe optimal timing for starting lenvatinib treatment in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC) has long been controversial because of the relatively slow-growing nature of differentiated thyroid cancer. The aim of this study was to establish a scoring system using known clinical factors to simplify decision-making in when to start lenvatinib in RR-DTC patients.

methodsWe retrospectively analyzed RR-DTC patients treated with lenvatinib. We developed the clinical indication scoring algorithm on the basis of age, tumor-related symptoms, histology, metastatic sites, neutrophil-to-lymphocyte ratio, size of lung metastases, baseline sum of tumor diameters, and tumor-volume doubling time that was used to categorize patients into low-, intermediate-, and high-risk groups.

resultsA total of 59 patients were analyzed; 13 low-risk, 36 intermediate-risk, and 10 high-risk. The respective median progression-free survival from the initiation of lenvatinib was 93.7 months in the low-risk group, 20.3 months in the intermediate-risk group, and 6.2 months in the high-risk group (p < 0.02). Patients in the high-risk group had significantly worse overall survival compared with those in the low-risk (hazard ratio [HR] 6.59, 95% confidence interval [CI] 1.25-34.90, p < 0.03) or intermediate-risk (HR 2.99, 95% CI 1.03-8.63, p < 0.05) group. Using our proposed algorithm, patients in the intermediate-risk group showed treatment outcomes similar to that were observed in the pivotal trial of lenvatinib, and were the optimal patients to start lenvatinib.

conclusionOur proposed scoring system can separate treatment outcomes and prognosis of RR-DTC patients treated with lenvatinib. This simple algorithm can be helpful for oncologists in deciding whether to start lenvatinib treatment in patients with RR-DTC.

Indexed as

AdenocarcinomaAntineoplastic AgentsQuinolinesThyroid NeoplasmsHumansIodine RadioisotopesPhenylurea CompoundsProtein Kinase InhibitorsRetrospective StudiesAntineoplastic AgentsIodine RadioisotopeslenvatinibPhenylurea CompoundsProtein Kinase InhibitorsQuinolinesLenvatinibScoring systemThyroid cancerTreatment indicationWatch and wait

Identifiers

PMID35088293
OpenAlexW4210475915

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.