Evidence map›Paper›PMID 34452609›Full record

ArticleBMC cancer2021

Ultrasound-guided fine needle aspiration cytology of Para-aortic lymph node metastasis in uterine cervical cancer: diagnostic accuracy and impact on clinical decision making.

Junping Liu, Xin Liu, Zhengying Guo, Xiaojuan Lv, Weimin Mao, Dong Xu, Lijing Wang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 3 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

7 authors at 2 institutions in 1 country.

Junping LiuDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China.
Xin LiuDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China.
Zhengying GuoDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China.
Xiaojuan LvDepartment of Gynecologic Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China.
Weimin MaoZhejiang Key Laboratory of the Diagnosis & Treatment Technology on Thoracic Oncology, No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China.
Dong XuDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China.
Lijing WangDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang Province, China. wanglj844@zjcc.org.cn.
University of Chinese Academy of Sciences · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main aim of this study was to ascertain the effectiveness of ultrasound-guided fine needle aspiration cytology (US-FNAC) in the diagnosis of para-aortic lymph node (PALN) metastasis in uterine cervical cancer and to establish its potential impact on clinical therapeutic decision making.

methodsWe retrospectively reviewed clinical data from 92 patients diagnosed with cervical cancer with PALN enlargement between 2010 and 2018. Cytological results obtained with US-FNAC were classified by the same experienced cellular pathologists. Diagnostic indicators were determined on the basis of biopsy, imaging and clinical follow-up results. Univariate and multivariate analyses were used to assess the differences of influencing factors. The effect of US-FNAC on clinical decision making was evaluated.

resultsCytological results of US-FNAC were categorized as malignancy (n = 62; 67.4%), suspicious malignancy (n = 11; 12.0%), undetermined (n = 5; 5.4%), benign (n = 10; 10.9%), and inadequate (n = 4; 4.3%). Satisfactory biopsy samples were obtained from 95.7% of PALNs sampled (88/92). The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of FNAC in distinguishing benign from malignant cases were 90.1% (95% CI: 0.809-0.953), 100% (95% CI: 0.561-1), 100% (95% CI: 0.938-1), 46.7% (95% CI: 0.223-0.726) and 90.9% (95% CI: 0.848-0.970), respectively. Univariate analysis indicated significant differences in experience of puncture physicians (radiologists) between the correct and wrong diagnosis groups (P < 0.05), which was further confirmed as an independent predictor of diagnostic accuracy in multivariate analysis (p = 0.031, OR = 0.077, 95% CI: 0.354-0.919). All patients tolerated the US-FNAC procedure well and only nine presented slight abdominal discomfort. The therapeutic strategies for 74 patients (80.4%) were influenced by US-FNAC findings.

conclusionsUS-FNAC was a relatively safe and effective technique for examination of enlarged para-aortic lymph nodes and may therefore serve as a routine diagnostic tool to guide clinical decision making for management of cervical cancer.

Indexed as

Clinical Decision-MakingAdultAgedAged, 80 and overBiopsy, Fine-NeedleCytodiagnosisFemaleFollow-Up StudiesHumansImage-Guided BiopsyLymphatic MetastasisLymph NodesMiddle AgedPrognosisRetrospective StudiesROC CurveCervical cancerDiagnosis accuracyFine needle aspiration cytologyPara-aortic lymph node metastasesUltrasound

Identifiers

PMID34452609
PMCPMC8393715
OpenAlexW3195702257

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.