Evidence map›Paper›PMID 24297455›Full record

ArticleAmerican journal of men's health2014

Multilevel Factors Associated With Overall Mortality for Men Diagnosed With Prostate Cancer in Florida.

Hong Xiao, Fei Tan, Pierre Goovaerts, Askal Ali, Georges Adunlin, Clement K Gwede, Youjie Huang

Abstract read
In one paragraph

Article in American journal of men's health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

7 authors.

Hong XiaoFlorida A&M University, Tallahassee, FL, USA hong.xiao@famu.edu.
Fei TanIndiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Pierre GoovaertsBioMedware Inc., Ann Arbor, MI, USA.
Askal AliFlorida A&M University, Tallahassee, FL, USA.
Georges AdunlinFlorida A&M University, Tallahassee, FL, USA.
Clement K GwedeH. Lee Moffitt Cancer Center & Research Institute, and University of South Florida, Tampa, FL, USA.
Youjie HuangFlorida Department of Health, Tallahassee, FL, USA.

Funding

A geostatistical framework for the multi-scale boundary analysis of space-time trR21ES021570 · NIEHS · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2013 to 2014
$426k
NIEHS NIH HHS 1R21 ES021570-01A1NIEHS NIH HHS R21 ES021570
6 · The paper itself

Abstract

To identify individual and contextual factors contributing to overall mortality among men diagnosed with prostate cancer in Florida, a random sample of patients (between October 1, 2001, and December 31, 2007) was taken from the Florida Cancer Data System. Patient's demographic and clinical information were obtained from the Florida Cancer Data System. Comorbidity was computed following the Elixhauser Index method. Census-tract-level socioeconomic status and farm house presence were extracted from Census 2000 and linked to patient data. The ratio of urologists and radiation oncologists to prostate cancer cases at the county level was computed. Multilevel logistic regression was conducted to identify significance of individuals and contextual factors in relation to overall mortality. A total of 18,042 patients were identified, among whom 2,363 died. No racial difference was found in our study. Being older at diagnosis, unmarried, current smoker, uninsured, diagnosed at late stage, with undifferentiated, poorly differentiated, or unknown tumor grade were significantly associated with higher odds of overall mortality. Living in a low-income area was significantly associated with higher odds of mortality (p = .0404). After adjusting for age, stage, and tumor grade, patients who received hormonal, combination of radiation with hormone therapy, and no definitive treatment had higher odds of mortality compared with those who underwent surgery only. A large number of comorbidities were associated with higher odds of mortality. Although disease-specific mortality was not examined, our findings suggest the importance of careful considerations of patient sociodemographic characteristics and their coexisting conditions in treatment decision making, which in turn affects mortality.

Indexed as

AdultAgedAge FactorsComorbidityDatabases, FactualDelayed DiagnosisFloridaHumansMaleMedically UninsuredMiddle AgedNeoplasm GradingPoverty AreasProstatic NeoplasmsRacial GroupsSingle Personcomorbiditydiagnosismortalitymultilevelprostate cancer

Identifiers

PMID24297455
PMCPMC4040343

What OpenQuestion holds

Textmetadata
LicenceTDM
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.