Evidence map›Paper›PMID 37583431›Full record

Observational studyFrontiers in endocrinology2023

Immune checkpoint inhibitor-induced hypothyroidism predicts treatment response in Japanese subjects.

Yuichiro Iwamoto, Tomohiko Kimura, Kazunori Dan, Mana Ohnishi, Haruka Takenouchi, Hideyuki Iwamoto, Junpei Sanada, Yoshiro Fushimi, Yukino Katakura, Masashi Shimoda and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Yuichiro IwamotoDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Tomohiko KimuraDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Kazunori DanDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Mana OhnishiDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Haruka TakenouchiDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Hideyuki IwamotoDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Junpei SanadaDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Yoshiro FushimiDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Yukino KatakuraDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Masashi ShimodaDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Shuhei NakanishiDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Tomoatsu MuneDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Kohei KakuDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Hideaki KanetoDivision of Diabetes, Metabolism and Endocrinology, Kawasaki Medical School, Kurashiki, Japan.
Kawasaki Medical School · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) cause a variety of immune-related adverse events (irAEs). Among them, thyroid dysfunction is most frequently observed. Patients with irAEs have higher survival rates than those without irAEs, but there is no certainty as to whether the degree of thyroid dysfunction is associated with treatment response or survival with ICIs. Method: This is a single-center, retrospective, observational study. The study included 466 patients who received ICI at Kawasaki Medical School Hospital from September 1, 2014, to May 31, 2022 and evaluated the degree of abnormal thyroid function and survival and remission rates after treatment with ICIs. Primary hypothyroidism of less than 10 μIU/mL TSH was classified as grade 1, and primary hypothyroidism requiring more than 10 μIU/mL TSH or levothyroxine as grade 2-4. Result: The mean age of the study participants was 68.2 ± 10.3 years, and the percentage of male participants was 72.6%. The frequency of ICI-induced thyroid dysfunction in the study participants was 28.2%. TSH levels were significantly higher in Grade 1 and Grades 2-4 when treated with ICI compared to NTF (p<0.0001). The survival rate at 1 year after ICI administration was significantly higher with 64.9% for grade 1 and 88.9% for grades 2-4 compared to 52.1% for NTF (p<0.0001). Cancer stage at the time of ICI administration did not differ among the groups (p=0.68). Nevertheless, the remission rate assessed by RECIST criteria was significantly higher in grades 2-4 compared to NTF (p<0.0001). Conclusion: ICI-induced thyroid dysfunction was significantly correlated with survival, mean observation time, and treatment remission rate. It is important to monitor thyroid hormone levels regularly in patients receiving ICIs.

Indexed as

Antineoplastic Agents, ImmunologicalHypothyroidismThyroid DiseasesAgedEast Asian PeopleFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedRetrospective StudiesThyrotropinAntineoplastic Agents, ImmunologicalImmune Checkpoint InhibitorsThyrotropinhypothyroidismimmune check point inhibitorsimmune-related adverse eventsretrospective studytransient thyrotoxicosis

Identifiers

PMID37583431
PMCPMC10424728
OpenAlexW4385429473

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.