Evidence map›Paper›PMID 28836965›Full record

ArticleBMC cancer2017

Predictors of high healthcare costs in elderly patients with liver cancer in end-of-life: a longitudinal population-based study.

Jui-Kun Chiang, Yee-Hsin Kao

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  11. CompoundExperimental and therapeutic medicine · 2018
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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

2 authors at 1 institution in 1 country.

Jui-Kun ChiangDepartment of Family Medicine, Buddhist Dalin Tzu Chi Hospital, Chiayi, Taiwan.
Yee-Hsin KaoDepartment of Family Medicine, Tainan Municipal Hospital, 670 Chung-Te Road, Tainan, 701, Taiwan. m2200767@gmail.com.
Tainan Municipal Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have indicated a pervasive pattern of decreasing healthcare costs during elderly patients' last year of life. The aim of this study was to explore the predictors of high healthcare costs (HC) in elderly liver cancer patients in Taiwan during their last month of life (LML).

methodsCosts of hospitalization, outpatient visits, aggressiveness of care, and associated costs for elderly (age ≥ 65 y) patients with liver cancer in the LML were analyzed using a national insurance database. An HC was defined as being greater than the 90th percentile (US $5093) in the LML, amounting to 38.95% of total healthcare costs.

resultsWe enrolled 2121 subjects who died during 1997-2011. Mean healthcare costs per person in their LML were US $8042 ± 3477 in the HC group and US $1407 ± 1464 in the non-HC group (p < 0.001). For patients receiving aggressive end-of-life (EOL) cancer care (e.g. intensive care, cardiopulmonary resuscitation, anticancer treatment, and a high number of admission days), comorbidities of chronic kidney disease, esophageal bleeding, and receiving opioids in the LML, were significantly independent positive predictors of HCs; but admission times, comorbidities of ascites, and hypertension were negative predictors.

conclusionThese findings could inform healthcare providers by avoiding aggressive treatments during EOL for elderly patients with liver cancer and to save on healthcare costs. Shorter admission days and more admission times in the last month of life could decrease healthcare costs.

Indexed as

Health Care CostsAgedAged, 80 and overAge FactorsAmbulatory CareComorbidityFemaleHospitalizationHumansLiver NeoplasmsLongitudinal StudiesMalePopulation SurveillanceROC CurveSurvival AnalysisTerminal CareElderlyEnd of life (EOL)Healthcare costsLast month of life (LML)Liver cancer

Identifiers

PMID28836965
PMCPMC5571574
OpenAlexW2748353805

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.