Evidence map›Paper›PMID 22929981›Full record

ArticleHaematologica2013

A high level of fatigue among long-term survivors of non-Hodgkin's lymphoma: results from the longitudinal population-based PROFILES registry in the south of the Netherlands.

Simone Oerlemans, Floortje Mols, Djamila E Issa, J H F M Pruijt, Wim G Peters, Marnix Lybeert, Wobbe Zijlstra, Jan Willem W Coebergh, Lonneke V van de Poll-Franse

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
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  5. Trial
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Predicting health-related quality of life two years post-diagnosis across seven cancer types: using machine learning to identify vulnerable patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  13. Development of a prediction model for clinically-relevant fatigue: a multi-cancer approach.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  14. Observational
  15. Article
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  18. Patients' experience with chimeric antigen receptor T-cell therapy for DLBCL in China: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  19. Article
  20. 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

9 authors at 6 institutions in 2 countries.

Simone OerlemansComprehensive Cancer Centre South, Eindhoven, The Netherlands. s.oerlemans@ikz.nl
Floortje Mols
Djamila E Issa
J H F M Pruijt
Wim G Peters
Marnix Lybeert
Wobbe Zijlstra
Jan Willem W Coebergh
Lonneke V van de Poll-Franse
Eindhoven Cancer Registry · NLCatharina Ziekenhuis · NLAmsterdam UMC Location VUmc · NLErasmus University Rotterdam · NLJeroen Bosch Ziekenhuis · NLTilburg University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The course of fatigue and quality of life in survivors of non-Hodgkin's lymphoma is unknown. The aims of this study were, therefore, to assess fatigue and quality of life in patients with non-Hodgkin's lymphoma following primary treatment, compare fatigue and quality of life in these patients with those of an age- and sex matched normative population to assess the severity of concerns and identify associations with fatigue of survivors who remained fatigued. The population-based Eindhoven Cancer Registry was used to select all patients diagnosed with non-Hodgkin's lymphoma from 1999-2009. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire and the Fatigue Assessment Scale were completed once by 824 survivors of non-Hodgkin's lymphoma (80% response rate); 434 survivors completed these questionnaires again 1 year later. Survivors of non-Hodgkin's lymphoma reported more clinically relevant fatigue up till 10 years post-diagnosis compared to a normative population (P<0.001). Mean fatigue scores remained fairly stable over time (T1: x=28, SD=26; T2: x=30, SD=27, P=0.14): 22-28% of survivors reported deterioration, 19-23% reported improvement and 44-54% reported constant fatigue. Survivors who reported constant fatigue were more often diagnosed with stage IV disease and had more comorbid diseases. They were additionally more often female and divorced. Having comorbidities and being without a partner were also associated with constant fatigue in the normative population. In conclusion, six out of every ten responding non-Hodgkin's lymphoma survivors reported a high level of fatigue up till 10 years after diagnosis. Mean fatigue scores remained stable over time and survivors reporting constant fatigue more often had stage IV disease at diagnosis and comorbidities.

Indexed as

SurvivorsAdultAgedAged, 80 and overFatigueFemaleHumansLymphoma, Non-HodgkinMaleMiddle AgedNetherlandsOdds RatioPopulation SurveillanceQuality of LifeRegistriesRisk Factors

Identifiers

PMID22929981
PMCPMC3659932
OpenAlexW2147472500

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.