Evidence map›Paper›PMID 26134117›Full record

Observational studyBMC urology2015

Clinical intervals and diagnostic characteristics in a cohort of prostate cancer patients in Spain: a multicentre observational study.

Xavier Bonfill, María José Martinez-Zapata, Robin W M Vernooij, María José Sánchez, María Morales Suárez-Varela, Javier de la Cruz, José Ignacio Emparanza, Montserrat Ferrer, José Ignacio Pijoán, Juan M Ramos-Goñi and 5 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Observational
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

15 authors.

Xavier BonfillCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. Xbonfill@santpau.cat.
María José Martinez-ZapataCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. mmartinezz@santpau.cat.
Robin W M VernooijInstitute of Biomedical Research (IIB Sant Pau), Iberoamerican Cochrane Centre, Barcelona, Spain. rwmvernooij@cochrane.es.
María José SánchezCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. mariajose.sanchez.easp@juntadeandalucia.es.
María Morales Suárez-VarelaCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. Maria.M.Morales@uv.es.
Javier de la CruzCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. jdlcruz@h12o.es.
José Ignacio EmparanzaCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. JOSEIGNACIO.EMPARANZA@osakidetza.net.
Montserrat FerrerCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. mferrer@imim.es.
José Ignacio PijoánCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. joseignacio.pijoanzubizarreta@osakidetza.net.
Juan M Ramos-GoñiHealth Services Research on Chronic Patients Network (REDISSEC), HTA Unit of the Canary Islands Health Service (SESCS), S/C de Tenerife, La Laguna, Spain. juanmanuel.ramosgoni@gmail.com.
Joan PalouUniversitat Autònoma de Barcelona, Barcelona, Spain. jpalou@fundacio-puigvert.es.
Stefanie SchmidtDepartment of Experimental and Health Sciences, Universidad Pompeu Fabra (UPF), Barcelona, Spain. sschmidt@imim.es.
Víctor AbrairaCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. victor.abraira@gmail.com.
Javier ZamoraCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. javier.zamora@hrc.es.
EMPARO-CU study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about the healthcare process for patients with prostate cancer, mainly because hospital-based data are not routinely published. The main objective of this study was to determine the clinical characteristics of prostate cancer patients, the, diagnostic process and the factors that might influence intervals from consultation to diagnosis and from diagnosis to treatment.

methodsWe conducted a multicentre, cohort study in seven hospitals in Spain. Patients' characteristics and diagnostic and therapeutic variables were obtained from hospital records and patients' structured interviews from October 2010 to September 2011. We used a multilevel logistic regression model to examine the association between patient care intervals and various variables influencing these intervals (age, BMI, educational level, ECOG, first specialist consultation, tumour stage, PSA, Gleason score, and presence of symptoms) and calculated the odds ratio (OR) and the interquartile range (IQR). To estimate the random inter-hospital variability, we used the median odds ratio (MOR).

results470 patients with prostate cancer were included. Mean age was 67.8 (SD: 7.6) years and 75.4% were physically active. Tumour size was classified as T1 in 41.0% and as T2 in 40% of patients, their median Gleason score was 6.0 (IQR:1.0), and 36.1% had low risk cancer according to the D'Amico classification. The median interval between first consultation and diagnosis was 89 days (IQR:123.5) with no statistically significant variability between centres. Presence of symptoms was associated with a significantly longer interval between first consultation and diagnosis than no symptoms (OR:1.93, 95%CI 1.29-2.89). The median time between diagnosis and first treatment (therapeutic interval) was 75.0 days (IQR:78.0) and significant variability between centres was found (MOR:2.16, 95%CI 1.45-4.87). This interval was shorter in patients with a high PSA value (p = 0.012) and a high Gleason score (p = 0.026).

conclusionsMost incident prostate cancer patients in Spain are diagnosed at an early stage of an adenocarcinoma. The period to complete the diagnostic process is approximately three months whereas the therapeutic intervals vary among centres and are shorter for patients with a worse prognosis. The presence of prostatic symptoms, PSA level, and Gleason score influence all the clinical intervals differently.

Indexed as

AgedAge DistributionCohort StudiesCritical PathwaysEarly Detection of CancerEducational StatusEmploymentHumansMalePrevalenceProstatic NeoplasmsSpainTime-to-Treatment

Identifiers

PMID26134117
PMCPMC4488131

What OpenQuestion holds

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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.