Evidence map›Paper›PMID 36131286›Full record

ArticleBMC health services research2022

Analysis of workload generated in the two years following first consultation by each new cancer patient: studying the past to plan the future of cancer care.

S K Garattini, F Valent, A M Minisini, C Riosa, C Favaretti, L Regattin, G Fasola

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. 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 at 2 institutions in 1 country.

S K GarattiniDepartment of Oncology, Academic Hospital of Udine ASUFC, Piazzale Santa Maria della Misericordia 15, Udine, UD, 33100, Italy. silvioken.garattini@asufc.sanita.fvg.it.
F ValentInstitute of Hygiene and Clinical Epidemiology, Academic Hospital of Udine ASUFC, 33100, Udine, UD, Italy.
A M MinisiniDepartment of Oncology, Academic Hospital of Udine ASUFC, Piazzale Santa Maria della Misericordia 15, Udine, UD, 33100, Italy.
C RiosaDepartment of Oncology, Academic Hospital of Udine ASUFC, Piazzale Santa Maria della Misericordia 15, Udine, UD, 33100, Italy.
C FavarettiCenter for Leadership in Medicine, Catholic University of Sacred Heart, 000168, Rome, RO, Italy.
L RegattinMedical Director, Academic Hospital of Udine ASUFC, Piazzale Santa Maria della Misericordia 15, Udine, UD, 33100, Italy.
G FasolaDepartment of Oncology, Academic Hospital of Udine ASUFC, Piazzale Santa Maria della Misericordia 15, Udine, UD, 33100, Italy.
Ospedale Santa Maria della Misericordia di Udine · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevalence of cancer patients is dramatically increasing. We aimed at quantifying the oncology workload generated by each new cancer patient in the two years following first consultation.

methodsIn this record-based retrospective study, we retrieved data of all newly diagnosed patients treated at the Oncology Department of Udine Academic Hospital between 01.01.2012 and 31.12.2017. We calculated mean number and standard deviation of the activity type generated by each new cancer patient during the following 2 years.

resultsSeven thousand four hundred fifty-two cancer patients generated a total of 85,338 clinical episodes. The two-years mean number of oncology episodes generated was 11.31 (i.e., for every 1,000 new cancer patients, 11,310 oncology activities are generated overall in the following two-year lapse). Patients with advanced disease generated the highest workload (24.3; SD 18.8) with a statistically significant difference compared to adjuvant and follow-up patients (p < 0.001). The workload generated in the period 0-6 and 0-12 months was significantly higher than in the following months (p < 0.001) and it was also higher for patients initially designated to treatment (p < 0.001).

conclusionThis is the first study reporting on the mean oncology workload generated during the 2 years following first consultation. Workload is the highest for patient with advanced disease, especially in the first months and in patients in active treatment. A detailed analysis of workloads in oncology is feasible and could be crucial for planning a sustainable framework for cancer care in the next future.

Indexed as

NeoplasmsWorkloadHumansMedical OncologyReferral and ConsultationRetrospective StudiesOncology planningOncology workforceOncology workloadSustainability

Identifiers

PMID36131286
PMCPMC9494889
OpenAlexW4296710410

What OpenQuestion holds

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LicenceCC BY
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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.