Evidence map›Paper›PMID 30642312›Full record

Observational studyBMC health services research2019

Burden of community-acquired pneumonia, predisposing factors and health-care related costs in patients with cancer.

Niklas Schmedt, Olivia Denise Heuer, Dennis Häckl, Reiko Sato, Christian Theilacker

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Incidence and Predictors of Community-Acquired Pneumonia in Patients With Hematological Cancers Between 2016 and 2019.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. 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

5 authors at 3 institutions in 2 countries.

Niklas SchmedtInGef - Institute for Applied Health Research Berlin, Berlin, Germany. niklas.schmedt@ingef.de.ORCID http://orcid.org/0000-0002-6226-9537
Olivia Denise HeuerInGef - Institute for Applied Health Research Berlin, Berlin, Germany.
Dennis HäcklWIG2 - Scientific Institute for Health Economics and Health System Research, Leipzig, Germany.
Reiko SatoPfizer Inc., Collegeville, PA, USA.
Christian TheilackerPfizer Deutschland GmbH, Berlin, Germany.
Institute for Applied Economic Research · DEPfizer (Germany) · DEPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on the burden of community-acquired pneumonia (CAP) and health-care related costs in patients with cancer is scarce. We aimed to estimate the CAP incidence rate, mortality, and healthcare-related costs of CAP patients with different cancer subtypes in Germany.

methodsWe used German health claims data of a representative sample of 4 million subjects to conduct cohort studies in patients with a new diagnosis of lung, hematological, breast, gastro-intestinal tract and renal/urinary-tract cancer and a comparator cohort without cancer between 2011 and 2015. CAP cases were identified in both the hospital and ambulatory care setting. Crude and age- and sex-standardized incidence rates (sIR) of CAP and mortality after CAP were calculated. To compare the health care-related costs of cancer patients with and without a diagnosis of CAP, a propensity-score (PS) matched control group was created.

resultsThe study population comprised of 89,007 patients with cancer. In lung cancer patients, the sIR was increased 21-fold compared to the control cohort. For the other cancer subtypes, the sIR was increased 4.3-fold (hematological malignancies) to 1.7-fold (breast cancer) compared to the control cohort. The 30-day mortality in CAP cases was highest in lung cancer patients with 20.0% and ranged from 7.2 to 18.5% in CAP cases with other cancer subtypes. The highest costs were observed in CAP cases with hematological malignancies with 28,969 € (SD 37,142 €) and the lowest in patients with renal/urinary tract cancer with 17,432 € (SD 19,579 €). The absolute difference in the mean overall costs between CAP cases and controls without CAP ranged from 4,111€ to 9,826€, depending on the cancer type. CAP-related costs were predominantly triggered by substantially elevated hospital costs in CAP cases.

conclusionsThe incidence rate of CAP and related mortality is high in patients with cancer with strong variations by cancer subtype. Furthermore, CAP in cancer patients is associated with substantial direct excess costs.

Indexed as

AdolescentAdultAgedAge DistributionCase-Control StudiesCausalityCommunity-Acquired InfectionsCost of IllnessFemaleGermanyHospitalizationHumansIncidenceMaleMiddle AgedNeoplasmsCancerClaims dataCommunity-acquired pneumoniaEconomicsEpidemiologyGermanyHealthcare costsIncidenceMortalityRetrospective studies

Identifiers

PMID30642312
PMCPMC6332528
OpenAlexW2911160727

What OpenQuestion holds

Textmetadata
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.