Evidence map›Paper›PMID 23050113›Full record

ArticleJournal of thoracic disease2012

Expression and prognostic relevance of tumor carcinoembryonic antigen in stage IB non-small cell lung cancer.

Jian Wang, Yun Ma, Zhi-Hua Zhu, Dong-Rong Situ, Yi Hu, Tie-Hua Rong

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Cergutuzumab Amunaleukin in Combination with Atezolizumab in Patients with Carcinoembryonic Antigen-Positive Advanced/Metastatic Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  12. Evaluation of a CLEIA automated assay system for the detection of a panel of tumor markers.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    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

6 authors at 1 institution in 1 country.

Jian WangDepartment of Anesthesia, Cancer Center, Sun Yat-sen University, Guangzhou 510060, China;
Yun Ma
Zhi-Hua Zhu
Dong-Rong Situ
Yi Hu
Tie-Hua Rong
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh serum carcinoembryonic antigen (CEA) levels have been reported to be associated with poor prognosis in non-small cell lung cancer (NSCLC), while the prognostic role of tumor CEA expression remains to be defined. The present study investigated the expression of tumor CEA in stage IB NSCLC, and correlated it with clinicopathological features and prognosis. PATIENTS AND

methodsImmunohistochemistry for tumor CEA was assessed in the specimens of 183 patients with stage IB NSCLC. Receiver-operating characteristic (ROC) curve analysis was used to determine the cut-off score for tumor positivity.

resultsHigh CEA expression was detected more frequently in adenocarcinomas (72.2%) and other NSCLCs (69.0%) than in squamous cell carcinomas (25.4%, P<0.001). Both univariate and multivariate analysis indicated that tumor CEA was an independent prognostic factor for overall and disease-free survival (P<0.05).

conclusionsElevated expression of tumor CEA may be an adverse prognostic indicator in stages IB NSCLC.

Indexed as

carcinoembryonic antigenNon-small cell lung cancerprognosisreceiver operating characteristic curve

Identifiers

PMID23050113
PMCPMC3461079
OpenAlexW1937223417

What OpenQuestion holds

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Read underepoch 390

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.