Evidence map›Paper›PMID 20372903›Full record

ArticleWorld journal of surgery2010

Clinical and imaging assessment of cervical lymph node metastasis in papillary thyroid carcinomas.

Yoon Jung Choi, Ji Sup Yun, Shin Ho Kook, Eun Choel Jung, Yong Lai Park

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 5 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

71 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

11 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

5 authors.

Yoon Jung ChoiDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University, Seoul, 110-746, Korea. yoonchoi99@gmail.com
Ji Sup Yun
Shin Ho Kook
Eun Choel Jung
Yong Lai Park

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe goals of this study were to analyze clinical factors that affect cervical lymph node metastasis (LNM) in papillary thyroid cancer (PTC), and to evaluate the diagnostic accuracy of preoperative ultrasound (US) and computed tomography (CT) of the neck.

methodsThe study sample included 589 consecutive patients who underwent surgery for PTC. Patient age and sex, number, size, and location of tumors, lymphovascular invasion, and extrathyroidal extension were evaluated as risk factors for central and lateral LNM.

resultsIncreased risk of lymph node metastasis was found for male patients, <45 years old, with tumor size >1 cm, lymphovascular invasion, and extrathyroidal invasion. Cancers located in the upper neck had a higher relative risk of lateral metastasis than cancers located in the lower neck. Sensitivity of both US and CT imaging was higher for lateral (70-80%) than for central (42-47%) LNM. Specificity of US and CT was high (92-97%) for both central and lateral LNM. Using central lymph node size of greater than 5 mm as an indicator of metastasis, preoperative US had 58.3% sensitivity and 71.4% specificity.

conclusionsPreoperative US and CT imaging are useful for identifying features that indicate a high risk of LNM and for determining appropriate management of PTC.

Indexed as

AdolescentAdultAgedAged, 80 and overCarcinoma, PapillaryFemaleHumansLogistic ModelsLymphatic MetastasisMaleMiddle AgedNeckNeoplasm InvasivenessRadiographyRisk FactorsSensitivity and Specificity

Identifiers

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.