Evidence map›Paper›PMID 30689106›Full record

ArticleJournal of clinical psychology in medical settings2019

A New Take on a Resource-Based Model of Quality of Life in Hemato-Oncological Patients: Demographic, Personal, and Social Factors.

Leehu Zysberg, Sharon Hai, Najib Dally

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical psychology in medical settings, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Health Related Quality of Life in Patients with Onco-hematological Diseases.Clinical practice and epidemiology in mental health : CP & EMH · 2020
    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

3 authors at 3 institutions in 2 countries.

Leehu ZysbergThe Graduate School, Gordon College of Education, 73 Tchernichowski Street, Haifa, Israel. leehuzysberg@yahoo.com.ORCID 0000-0003-1700-2857
Sharon HaiDepartment of Education, Tel Hai College, 12220, Upper Galilee, Israel.
Najib DallyOncology Institute, Ziv Medical Center, Safed, Israel.
Bar-Ilan University · ILTel Hai Academic College · ILYahoo (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study tests a new comprehensive model accounting for the role of demographic, personal, and social factors in quality of life (QOL) among a sample of hematological cancer patients. We hypothesized that positive and negative affect would mediate the associations between these factors and QOL. Seventy-two patients were recruited at an outpatient hematological clinic in a midsized medical center in northern Israel. They completed measures of QOL, social support, positive and negative affect, and emotional intelligence (EI). Diagnostic and demographic information was retrieved from their files. Path analysis supported a model in which positive and negative affect mediated the association between income level, social support, EI, and QOL. This study presents a model accounting for QOL among hematological patients that for the first time pertains to demographic, personal, and interpersonal factors. This model may guide future research as well as future interventions to empower and support this fragile target population.

Indexed as

Adaptation, PsychologicalAttitude to HealthSocial SupportAffectAge FactorsEmotional IntelligenceFemaleHealth Services Needs and DemandHematologic NeoplasmsHumansIsraelMaleMiddle AgedQuality of LifeSeverity of Illness IndexSurveys and QuestionnairesEmotional intelligenceHematological cancerOncologyQuality of lifeResource model

Identifiers

PMID30689106
OpenAlexW2911339374

What OpenQuestion holds

Textmetadata
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.