Evidence map›Paper›PMID 32213981›Full record

ArticleJournal of clinical medicine2020

Tc-99m TRODAT-1 SPECT is a Potential Biomarker for Restless Leg Syndrome in Patients with End-Stage.

Yi-Chou Hou, Yu-Ming Fan, Ya-Ching Huang, Ruei-Ming Chen, Cheng-Hsu Wang, Yi-Te Lin, Tzung-Hai Yen, Kuo-Cheng Lu, Yuh-Feng Lin

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Yi-Chou HouGraduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Yu-Ming FanSchool of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan.
Ya-Ching HuangDepartment of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan 333, Taiwan.
Ruei-Ming ChenGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Cheng-Hsu WangDepartment of Nuclear Medicine, Cardinal Tien Hospital, New Taipei City 231,Taiwan.
Yi-Te LinDepartment of Internal Medicine, Cardinal Tien Hospital, New Taipei City 231,Taiwan.
Tzung-Hai YenDivision of Nephrology, Chang Gung Memorial Hospital, Taipei 105, Taiwan.
Kuo-Cheng LuSchool of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan.
Yuh-Feng LinGraduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0001-7861-5054
Fu Jen Catholic University · TWChang Gung University · TWNational Tsing Hua University · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationales: Restless leg syndrome (RLS) is a common complication in patients with end-stage renal disease (ESRD). However, there is a lack of biomarkers linking uremic RLS to dopaminergic neurons. Previous studies demonstrated that Tc-99m TRODAT-1 SPECT was a biomarker for RLS but the correlation between the physiologic parameter was lacking.

methodsOverall, 32 patients were enrolled in the study and divided into the following 3 groups: (1) control (

resultsThe total ratio of Tc-99m TRODAT SPECT was lower in the ESRD with RLS group (

conclusionIn patients with ESRD and RLS, Tc-99m TRODAT might be a potential biomarker. Dysregulated hemoglobin, serum parathyroid hormone and serum ferritin concentrations might influence the uptake of the TRODAT ratio.

Indexed as

ESRDrestless leg syndromeTRODAT-1

Identifiers

PMID32213981
PMCPMC7141514
OpenAlexW3013479331

What OpenQuestion holds

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LicenceCC BY
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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.