Evidence map›Paper›PMID 12362277›Full record

ReviewOncogene2002

Recent advances in the molecular diagnosis of lung cancer.

Li Mao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

1 author.

Li MaoDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston 77030, USA. lmao@mdanderson.org

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite extensive effort in improvement of diagnosis and treatment of patients with lung cancer in past three decades, the overall survival of patients with the disease remains dismal. Because the development of lung cancer takes a few decades, early diagnosis of the disease or identification of truly high-risk populations may provide us opportunity to successfully cure or prevent the disease. Recent advances in understanding biological basis of lung tumorigenesis provide new tools for detecting malignant cells or the process of malignant transformation and progression. Along with identification of molecular abnormalities in the early lung tumorigenesis, advanced molecular analytic technologies have been emerged, which may facilitate development of rapid and effective methods for early diagnosis and risk assessment. Here, I discuss recent progresses in understanding of early molecular abnormalities in lung cancer, efforts of translating laboratory findings to clinical tests, and prospective of biomarkers in lung cancer diagnosis and risk assessment.

Indexed as

Genetic TechniquesHumansLung Neoplasms

Identifiers

PMID12362277

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.