Evidence map›Paper›PMID 15822487›Full record

ReviewAnnals of Saudi medicine

Lung cancer.

Irfan Maghfoor, Michael C Perry

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

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  14. The Impact ofIn vivo (Athens, Greece)
    Review
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

2 authors at 2 institutions in 2 countries.

Irfan MaghfoorDepartment of Oncology, King Faisal Specialist Hospital & Research Centre, PO. Box 3354 (MBC 64) Riyadh 11211, Saudi Arabia.
Michael C Perry
King Faisal Specialist Hospital & Research Centre · SAUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related mortality. Since tobacco smoking is the cause in vast majority of cases, the incidence of lung cancer is expected to rise in those countries with high or rising incidence of tobacco smoking. Even though populations at risk of developing lung cancer are easily identified, mass screening for lung cancer is not supported by currently available evidence. In the case of non-small cell lung cancer, a cure may be possible with surgical resection followed by post-operative chemotherapy in those diagnosed at an early stage. A small minority of patients who present with locally advanced disease may also benefit from pre-operative chemotherapy and/or radiation therapy to down stage the tumor to render it potentially operable. In a vast majority of patients, however, lung cancer presents at an advanced stage and a cure is not possible with currently available therapeutic strategies. Similarly, small cell lung cancer confined to one hemi-thorax may be curable with a combination of chemotherapy and thoracic irradiation followed by prophylactic cranial irradiation, if complete remission is achieved at the primary site. Small cell lung cancer that is spread beyond the confines of one hemi-thorax is, however, considered incurable. In this era of molecular targeted therapies, new agents are constantly undergoing pre-clinical and clinical testing with the aim of targeting the molecular pathways thought be involved in etiology and pathogenesis of lung cancer.

Indexed as

Biological TherapyCarcinoma, Non-Small-Cell LungCarcinoma, Small CellChemopreventionChemotherapy, AdjuvantHumansLung NeoplasmsNeoplasm StagingPrognosis

Identifiers

PMID15822487
PMCPMC6150570
OpenAlexW4211062790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.