Evidence map›Paper›PMID 28591052›Full record

Observational studyMedicine2017

Effects of multidisciplinary team on emergency care for colorectal cancer patients: A nationwide-matched cohort study.

Chun-Ming Liao, Pei-Tseng Kung, Yueh-Hsin Wang, Wen-Chen Tsai

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 3 institutions in 3 countries.

Chun-Ming LiaoDepartment of Public Health, China Medical University Department of Pharmacy, China Medical University Hospital Department of Healthcare Administration, Asia University Department of Health Services Administration, China Medical University, Taichung, Taiwan.
Pei-Tseng Kung
Yueh-Hsin Wang
Wen-Chen Tsai
China Medical University · TWAsia University · JPChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The literature describing the effectiveness of multidisciplinary team (MDT) for the care of colorectal cancer remains unclear. We investigated the effects of MDT care on the quality of colorectal cancer treatment, and the emergency department visit number was used as an indicator. In total, 45,418 patients newly diagnosed with colorectal cancer from the Taiwan National Health Insurance Research Database (2005-2009) were included. Propensity score matching with a ratio of 1:3 was adopted to reduce differences in characteristics between MDT care participants and non-MDT care participants. After matching, 3039 participation MDT care groups and 9117 nonparticipation groups were included and analyzed with χ and t tests, determine the distribution was similar. Without the control of variables, the percentage difference between participation and nonparticipation MDT care groups in utilization of emergency care was 0.03% (P > .05). The logistic regression model involving controlled variables demonstrated that odds ratio (OR) by probability of emergency care used for participation MDT care groups within a year of cancer diagnosis was less than that for nonparticipation (OR = 0.87, 95% confidence interval: 0.78-0.96). Large amount data were used and confirmed significant benefits of MDT in colorectal cancer care.

Indexed as

Patient Care TeamAdultAgedColorectal NeoplasmsDatabases, FactualEmergency Service, HospitalEmergency TreatmentFemaleHumansLogistic ModelsMaleMiddle AgedNational Health ProgramsPropensity ScoreRegistriesTaiwan

Identifiers

PMID28591052
PMCPMC5466230
OpenAlexW2624137791

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.