Evidence map›Paper›PMID 27789450›Full record

SynthesisAJNR. American journal of neuroradiology2017

Performance of CT in the Preoperative Diagnosis of Cervical Lymph Node Metastasis in Patients with Papillary Thyroid Cancer: A Systematic Review and Meta-Analysis.

C H Suh, J H Baek, Y J Choi, J H Lee

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

66 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
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  7. Pooled it
  8. The impact of a simple positioning aid device on the diagnostic performance of thyroid cancer in CT scans: a randomized controlled trial.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Trial
  9. Article
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  16. European Laryngological Society consensus statement on optimal monitoring schedules after treatment for early glottic cancer: a risk-stratification.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
  17. Diagnostic Value of [Molecular imaging and biology · 2025
    Article
  18. Article
  19. Current evidence and strategies for preventing tumor recurrence following thermal ablation of papillary thyroid carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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

4 authors.

C H SuhFrom the Department of Radiology and Research Institute of Radiology (C.H.S., J.H.B., Y.J.C., J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-4737-0530
J H BaekFrom the Department of Radiology and Research Institute of Radiology (C.H.S., J.H.B., Y.J.C., J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea radbaek@naver.com.ORCID 0000-0003-0480-4754
Y J ChoiFrom the Department of Radiology and Research Institute of Radiology (C.H.S., J.H.B., Y.J.C., J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-7098-5042
J H LeeFrom the Department of Radiology and Research Institute of Radiology (C.H.S., J.H.B., Y.J.C., J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-0021-4477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeUltrasound has become widely accepted as the first imaging technique used for the assessment of cervical lymph node metastasis in patients with papillary thyroid cancer. In this systematic review and meta-analysis, we evaluate the performance of CT for the preoperative diagnosis of cervical lymph node metastasis in patients with papillary thyroid cancer compared with ultrasound. MATERIALS AND

methodsOvid-MEDLINE and EMBASE data bases were searched for studies regarding the use of CT to diagnose cervical lymph node metastasis. The diagnostic performance of CT, ultrasound, and combined CT/ultrasound was assessed by using level-by-level and patient-based analyses. We also performed meta-analyses on the basis of the central and lateral neck levels.

resultsNine eligible studies, including a total sample size of 1691 patients, were included. CT showed a summary sensitivity of 62% (95% CI, 52%-70%) and specificity of 87% (95% CI, 80%-92%) for diagnosing cervical lymph node metastasis when using level-by-level analysis. There was a positive correlation between the sensitivity and the false-positive rate (correlation coefficient, 0.807) because of the threshold effect. The summary sensitivity of combined CT/ultrasound (69%; 95% CI, 61%-77%) was significantly higher than ultrasound (51%; 95% CI, 42%-60%), though the summary specificity did not differ.

conclusionsThe diagnostic performances of CT and ultrasound are similar, though CT and ultrasound combined are superior to ultrasound only. CT may be used as a complementary diagnostic method in addition to ultrasound for diagnosing cervical lymph node metastasis in patients with papillary thyroid cancer.

Indexed as

AdultCarcinoma, PapillaryFemaleHumansLymphatic MetastasisSensitivity and SpecificityThyroid Cancer, PapillaryThyroid NeoplasmsTomography, X-Ray Computed

Identifiers

PMID27789450
PMCPMC7963646

What OpenQuestion holds

Textmetadata
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.