Evidence map›Paper›PMID 26137287›Full record

ArticleMolecular and clinical oncology2015

Comparison of two different standards of care in detecting malignant thyroid nodules using thyroid fine-needle aspiration.

Xiaoyun Liu, Lijun Zhu, Zhixiao Wang, Dai Cui, Huanhuan Chen, Ling Wei, Yunsong Wu, Rong Rong, Yan Wu, Qing Yao and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2015. 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
–field-weighted citation impact, top 92% 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, 4 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

14 authors at 3 institutions in 2 countries.

Xiaoyun LiuDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Lijun ZhuDepartment of Children's Health Care, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Zhixiao WangDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Dai CuiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Huanhuan ChenDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Ling WeiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Yunsong WuDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Rong RongDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Yan WuDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Qing YaoDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Zhihong ZhangDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Edmund S CibasDivision of Cytology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Erik K AlexanderThyroid Unit, Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Tao YangDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
Nanjing Medical University · CNJiangsu Province Hospital · CNHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to verify the optimal method to obtain enough fine-needle aspiration (FNA) materials for detecting thyroid malignancy. A prospective study was performed by comparing two different regional standards of care. In one group a traditional FNA method mainly used in Asian countries, including China, was performed in which a single pass of a 22-G needle was applied with or without aspiration. In the other group, the method mainly used in Western countries was performed in which three passes of a 25-G needle with non-aspiration were undertaken for thyroid nodules. The study included 718 thyroid nodules from 695 patients. These nodules were allocated for three different methods of performing thyroid FNA. There were 332 thyroid nodules subjected to the traditional Asian FNA method using a 22-G needle with aspiration for 142 nodules and non-aspiration for 190 nodules. FNA using the Western method was performed with three passes of non-aspiration using 25 G for 386 nodules. All the FNAs were performed with the guidance of ultrasound. The components of the nodules were documented. All the samples were reported using the Bethesda System for Reporting Thyroid Cytopathology. Among the 22 G group, the non-diagnostic rate in the aspiration group was as high as 76.76%, which was significantly higher than 44.21% in the non-aspiration group (P<0.01). For the non-aspiration group, the non-diagnostic rate in the 25 G group was 34.97%, which was significantly lower than 44.21% in the 22 G group. In general, the non-diagnostic rate for the 25-G needle was 34.97%, which was significantly lower than 58.13% in all the 22 G groups. For the solid and mixed nodules, the non-diagnostic rate was lower in the 25-G needle group compared to the 22 G groups with statistical significance. The non-aspiration method using a 25-G needle with multiple passes can result in a higher diagnostic rate for thyroid FNA.

Indexed as

Bethesda Systemfine-needle aspirationstandards of caretechniquesthyroid nodule

Identifiers

PMID26137287
PMCPMC4471588
OpenAlexW2081798360

What OpenQuestion holds

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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.