Evidence map›Paper›PMID 24834141›Full record

ReviewWorld journal of gastrointestinal oncology2014

Esophageal cancer: A Review of epidemiology, pathogenesis, staging workup and treatment modalities.

Kyle J Napier, Mary Scheerer, Subhasis Misra

Abstract readReview
In one paragraph

Review in World journal of gastrointestinal oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 423 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
423citing 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

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

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363 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

3 authors.

Kyle J NapierKyle J Napier, Mary Scheerer, Subhasis Misra, Department of Surgery, Texas Tech University Health Science Center School of Medicine, Amarillo, TX 79106, United States.
Mary ScheererKyle J Napier, Mary Scheerer, Subhasis Misra, Department of Surgery, Texas Tech University Health Science Center School of Medicine, Amarillo, TX 79106, United States.
Subhasis MisraKyle J Napier, Mary Scheerer, Subhasis Misra, Department of Surgery, Texas Tech University Health Science Center School of Medicine, Amarillo, TX 79106, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer is a serious malignancy with regards to mortality and prognosis. It is a growing health concern that is expected to increase in incidence over the next 10 years. Squamous cell carcinoma is the most common histological type of esophageal cancer worldwide, with a higher incidence in developing nations. With the increased prevalence of gastroesophageal reflux disease and obesity in developed nations, the incidence of esophageal adenocarcinoma has dramatically increased in the past 40 years. Esophageal cancer is staged according to the widely accepted TNM system. Staging plays an integral part in guiding stage specific treatment protocols and has a great impact on overall survival. Common imaging modalities used in staging include computed tomography, endoscopic ultrasound and positron emission tomography scans. Current treatment options include multimodality therapy mainstays of current treatment include surgery, radiation and chemotherapy. Tumor markers of esophageal cancer are an advancing area of research that could potentially lead to earlier diagnosis as well as playing a part in assessing tumor response to therapy.

Indexed as

Esophageal adenocarcinomaEsophageal cancerEsophageal cancer stagingEsophageal squamous cell carcinomaSurgery

Identifiers

PMID24834141
PMCPMC4021327

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.