Evidence map›Paper›PMID 26908235›Full record

ArticleScientific reports2016

Risk of Second Primary Cancers in Multiple Myeloma Survivors in German and Swedish Cancer Registries.

Tianhui Chen, Mahdi Fallah, Hermann Brenner, Lina Jansen, Elias K Mai, Felipe A Castro, Alexander Katalinic, Katharina Emrich, Bernd Holleczek, Karla Geiss and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Second malignancies in multiple myeloma; emerging patterns and future directions.Best practice & research. Clinical haematology · 2020
    Review
  10. Article
  11. Article
  12. 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

14 authors at 12 institutions in 5 countries.

Tianhui ChenDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mahdi FallahDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Lina JansenDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Elias K MaiDepartment of Internal Medicine V, University Clinic of Heidelberg, Heidelberg, Germany.
Felipe A CastroDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Alexander KatalinicInstitute of Cancer Epidemiology, University of Lübeck, Lübeck, Germany.
Katharina EmrichCancer Registry of Rhineland-Palatinate, Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Bernd HolleczekSaarland Cancer Registry, Saarbrücken, Germany.
Karla GeissBayern Cancer Registry, Munich, Germany.
Andrea EberleCancer Registry of Bremen, Leibniz-Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kari HemminkiDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
GEKID Cancer Survival Working Group
German Cancer Research Center · DEBavarian State Archives · DEJohannes Gutenberg University Mainz · DELeibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversity of Lübeck · DEKrebsregister Saarland · DENational Cancer Registry · IEUniversity Cancer Center Hamburg · DEGerman Cancer Society · DEHannover Re (Germany) · DEHeidelberg University · DELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed at investigating the distribution and risk of second primary cancers (SPCs) in multiple myeloma (MM) survivors in Germany and Sweden to provide etiological understanding of SPCs and insight into their incidence rates and recording practices. MM patients diagnosed in 1997-2010 at age ≥15 years were selected from the Swedish (nationwide) and 12 German cancer registries. Standardized incidence ratios (SIRs) were used to assess risk of a specific SPC compared to risk of the same first cancer in the corresponding background population. Among 18,735 survivors of first MM in Germany and 7,560 in Sweden, overall 752 and 349 SPCs were recorded, respectively. Significantly elevated SIRs of specific SPCs were observed for acute myeloid leukemia (AML; SIR = 4.9) in Germany and for kidney cancer (2.3), AML (2.3) and nervous system cancer (1.9) in Sweden. Elevated risk for AML was more pronounced in the earlier diagnosis period compared to the later, i.e., 9.7 (4.2-19) for 1997-2003 period versus 3.5 (1.5-6.9) for 2004-2010 in Germany; 3.8 (1.4-8.3) for 1997-2003 versus 2.2 (0.3-7.8) for 2004-2010 in Sweden. We found elevated risk for AML for overall, early diagnosis periods and longer follow-up times in both populations, suggesting possible side effects of treatment for MM patients.

Indexed as

RegistriesAdolescentAdultAgedAntineoplastic AgentsEarly DiagnosisFemaleGermanyHumansKidney NeoplasmsLeukemia, Myeloid, AcuteMaleMiddle AgedMultiple MyelomaNeoplasms, Second PrimaryNervous System NeoplasmsAntineoplastic Agents

Identifiers

PMID26908235
PMCPMC4764950
OpenAlexW2295128722

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.