Evidence map›Paper›PMID 26335243›Full record

Trial reportInternational journal of clinical oncology2016

Accuracy of preoperative diagnosis of lymph node metastasis for thoracic esophageal cancer patients from JCOG9907 trial.

Tomoya Yokota, Hiroyasu Igaki, Ken Kato, Yasuhiro Tsubosa, Junki Mizusawa, Hiroshi Katayama, Kenichi Nakamura, Haruhiko Fukuda, Yuko Kitagawa

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in International journal of clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  16. Contrast-enhanced computed tomography combined with Chitosan-FeExperimental and therapeutic medicine · 2018
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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 3 institutions in 1 country.

Tomoya YokotaDivision of Gastrointestinal Oncology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan. t.yokota@scchr.jp.
Hiroyasu IgakiEsophageal Surgery Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Ken KatoGastrointestinal Oncology Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yasuhiro TsubosaDivision of Esophageal Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Junki MizusawaJapan Clinical Oncology Group Data Center/Operations Office, Center for Research Administration and Support, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Hiroshi KatayamaJapan Clinical Oncology Group Data Center/Operations Office, Center for Research Administration and Support, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Kenichi NakamuraJapan Clinical Oncology Group Data Center/Operations Office, Center for Research Administration and Support, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Haruhiko FukudaJapan Clinical Oncology Group Data Center/Operations Office, Center for Research Administration and Support, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yuko KitagawaDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-0016, Japan.
Japan Clinical Cancer Research Organization · JPKeio University Hospital · JPShizuoka Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate clinical evaluation of lymph nodes is crucial for selection of the optimum treatment strategy for individual esophageal cancer patients. This study investigated the accuracy of preoperative clinical diagnosis of lymph node metastasis for patients with clinical stage II/III esophageal squamous cell carcinoma.

methodsPatients assigned to receive surgery and postoperative chemotherapy in JCOG9907 trial were studied to evaluate the concordance between clinical and pathological nodes. Preoperative diagnosis was based on computed tomography or magnetic resonance imaging.

resultsAmong 166 patients in the postoperative group, 160 with sufficient pathological data were studied. The patient background characteristics were: male/female, 147/13; median age, 61 years (range 39-75 years); primary tumor site (upper/middle/lower), 15/76/69; cN0/cN1, 53/107. The sensitivity and specificity of clinical nodes for diagnosis of pathological nodes were 72.7 and 51.3 %, respectively; the positive and negative predictive values were 82.2 and 37.7 %, respectively. The lymph nodes overestimated in the preoperative diagnosis included thoracic paratracheal lymph nodes (#106) (n = 8), middle thoracic paraesophageal lymph nodes (#108) (n = 4), lymph nodes along the lesser curvature (#3) (n = 4), right cardiac lymph nodes (#1) (n = 3), and left cardiac lymph nodes (#2) (n = 2).

conclusionDiagnosis of clinical nodes has low specificity and low negative predictive value for prediction of pathological node category in the preoperative diagnosis of lymph node metastasis for patients with locally advanced resectable esophageal cancer. Clinical staging techniques must therefore be improved for accurate preoperative diagnosis.

Indexed as

AdultAgedCarcinoma, Squamous CellEsophageal NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMaleMiddle AgedNeoplasm StagingPredictive Value of TestsPreoperative CareTomography, X-Ray ComputedClinical diagnosisEsophageal squamous cell carcinomaLymph nodesPathological diagnosis

Identifiers

PMID26335243
OpenAlexW1230344411

What OpenQuestion holds

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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.