Evidence map›Paper›PMID 35403154›Full record

ArticleCancer diagnosis & prognosis

Prognostic Value of Lymphocyte-to-Monocyte Ratio for Japanese Patients With Differentiated Thyroid Cancer Treated With Sorafenib Therapy.

Shogo Nakamoto, Masahiko Ikeda, Shinichiro Kubo, Mari Yamamoto, Tetsumasa Yamashita, Chihiro Kuwahara

Open access · greenAbstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

6 authors at 1 institution in 1 country.

Shogo NakamotoDivision of Breast and Thyroid Gland Surgery, Fukuyama City Hospital, Hiroshima, Japan.
Masahiko IkedaDivision of Breast and Thyroid Gland Surgery, Fukuyama City Hospital, Hiroshima, Japan.
Shinichiro KuboDivision of Breast and Thyroid Gland Surgery, Fukuyama City Hospital, Hiroshima, Japan.
Mari YamamotoDivision of Breast and Thyroid Gland Surgery, Fukuyama City Hospital, Hiroshima, Japan.
Tetsumasa YamashitaDivision of Breast and Thyroid Gland Surgery, Fukuyama City Hospital, Hiroshima, Japan.
Chihiro KuwaharaDivision of Breast and Thyroid Gland Surgery, Fukuyama City Hospital, Hiroshima, Japan.
Fukuyama City Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: We investigated the efficacy and safety of sorafenib in Japanese patients and the prognostic value of systemic immunity markers for predicting clinical outcomes after sorafenib therapy in patients with radioiodine refractory differentiated thyroid cancer (RR-DTC). Patients and Methods: We retrospectively evaluated 26 patients with RR-DTC who underwent sorafenib therapy between July 2014 and December 2020. The systemic immunity markers were calculated from blood cell counts. Results: The median overall survival (OS) was 2,002 days, and the clinical benefit rate was 80.8%. The high lymphocyte-to-monocyte ratio (LMR) group had significantly longer OS than the low LMR group (hazard ratio=0.21; 95% confidence interval=005-0.88; log-rank p=0.019). Adverse events observed in this study were acceptable, and no new safety signals associated with sorafenib were found. Conclusion: Sorafenib therapy is efficacious and safe for Japanese patients with RR-DTC, and baseline LMR may be useful as a sorafenib therapy prognostic marker.

Indexed as

Differentiated thyroid cancerlymphocyte-to-monocyte ratiooverall survivalprognostic markersorafenib

Identifiers

PMID35403154
PMCPMC8962859
OpenAlexW3213526113

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.