Evidence map›Paper›PMID 38503944›Full record

ArticleJournal of cancer research and clinical oncology2024

Distinguishing benign and malignant thyroid nodules using plasma trimethylamine N-oxide, carnitine, choline and betaine.

Liang Shi, Muhong Guo, Cuixiao Shi, Gu Gao, Xianghong Xu, Chuan Zhang, Jingjing Fu, Yudan Ni, Feng Wang, Xue Xue and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Serum Trimethylamine-International journal of molecular sciences · 2026
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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

11 authors at 1 institution in 1 country.

Liang Shi *Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Muhong Guo *Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Cuixiao Shi *Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Gu GaoDepartment of Health Management Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Xianghong XuDepartment of Endocrinology, Nanjing First Hospital, Nanjing, 210006, China.
Chuan ZhangDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Jingjing FuDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Yudan NiDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Feng WangDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. fengwangcn@hotmail.com.
Xue XueDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. xuexue@njmu.edu.cn.
Fei YuDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. yufei_njmu@163.com.
Nanjing Medical University · CN

Funding

Jiangsu Province Research Hospital Cultivation Unit YJXYYJSDW1Jiangsu Provincial Medical Key Discipline Cultivation Unit JSDW202247Medical Science and Technology Program of Nanjing JQX22006Nanjing Health Science and Technology Development Project YKK22114National Natural Science Foundation of China 82003532National Natural Science Foundation of China 82272038The China Postdoctoral Science Foundation 2023M741765
6 · The paper itself

Abstract

purposeTrimethylamine N-oxide (TMAO), a gut microbiome-derived metabolite, and its precursors (carnitine, choline, betaine) have not been fully examined in relation to thyroid cancer (TC) risk. The aim of this study was to assess the value of TMAO and its precursors in diagnosis of benign and malignant thyroid nodules.

methodsIn this study, high-performance liquid chromatography-tandem mass spectrometry was utilized to measure the levels of plasma TMAO and its precursors (choline, carnitine, and betaine) in 215 TC patients, 63 benign thyroid nodules (BTN) patients and 148 healthy controls (HC). The distribution of levels of TMAO and its precursors among the three groups were compared by the Kruskal-Wallis test. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the sensitivity, specificity, and the predictive accuracy of single and combined biomarkers.

resultsIn comparison to HC, TC showed higher levels of TMAO and lower levels of its precursors (carnitine, choline, and betaine) (all P < 0.001). Plasma choline (P < 0.01) and betaine (P < 0.05) were declined in BTN than HC. The levels of carnitine (P < 0.001) and choline (P < 0.05) were significantly higher in BTN than that in TC group. Plasma TMAO showed lower levels in TC with lymph node metastasis (101.5 (73.1-144.5) ng/ml) than those without lymph node metastasis (131 (84.8-201) ng/ml, P < 0.05). Combinations of these four metabolites achieved good performance in the differential diagnosis, with the area under the ROC curve of 0.703, 0.741, 0.793 when discriminating between TC and BTN, BTN and HC, TC and HC, respectively.

conclusionPlasma TMAO, along with its precursors could serve as new biomarkers for the diagnosis of benign and malignant thyroid nodules.

Indexed as

BetaineMethylaminesThyroid NoduleBiomarkersCarnitineCholineHumansLymphatic MetastasisBetaineBiomarkersCarnitineCholineMethylaminestrimethyloxamineBetaineBiomarkerCarnitineCholineThyroid cancerTrimethylamine N-oxide (TMAO)

Identifiers

PMID38503944
PMCPMC10951046
OpenAlexW4393010853

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.