Evidence map›Paper›PMID 29667017›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2018

Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information.

Mathias Kaspar, Georg Fette, Gülmisal Güder, Lea Seidlmayer, Maximilian Ertl, Georg Dietrich, Helmut Greger, Frank Puppe, Stefan Störk

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
11.3field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Long-term effects of device-guided slow breathing in stable heart failure patients with reduced ejection fraction.Clinical research in cardiology : official journal of the German Cardiac Society · 2019
    Trial
  5. Article
  6. Diagnosing post-capillary hypertension in patients with left heart disease: impact of new guidelines.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  7. Article
  8. Acute heart failure in non-cardiac surgery.European heart journal · 2025
    Review
  9. Article
  10. Article
  11. Accuracy of VOHerz · 2024
    Article
  12. Artificial Intelligence Technologies in Cardiology.Journal of cardiovascular development and disease · 2023
    Review
  13. Article
  14. Current progress of ferroptosis in cardiovascular diseases.Frontiers in cardiovascular medicine · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 2 institutions in 1 country.

Mathias KasparComprehensive Heart Failure Center (CHFC), Department of Internal Medicine I, Würzburg University Hospital, Am Schwarzenberg 15, 97078, Würzburg, Germany.
Georg FetteComprehensive Heart Failure Center (CHFC), Department of Internal Medicine I, Würzburg University Hospital, Am Schwarzenberg 15, 97078, Würzburg, Germany.
Gülmisal GüderComprehensive Heart Failure Center (CHFC), Department of Internal Medicine I, Würzburg University Hospital, Am Schwarzenberg 15, 97078, Würzburg, Germany.
Lea SeidlmayerComprehensive Heart Failure Center (CHFC), Department of Internal Medicine I, Würzburg University Hospital, Am Schwarzenberg 15, 97078, Würzburg, Germany.
Maximilian ErtlChair of Computer Science VI, University of Würzburg, Würzburg, Germany.
Georg DietrichChair of Computer Science VI, University of Würzburg, Würzburg, Germany.
Helmut GregerService Center Medical Informatics, Würzburg University Hospital, Würzburg, Germany.
Frank PuppeChair of Computer Science VI, University of Würzburg, Würzburg, Germany.
Stefan StörkComprehensive Heart Failure Center (CHFC), Department of Internal Medicine I, Würzburg University Hospital, Am Schwarzenberg 15, 97078, Würzburg, Germany. Stoerk_S@ukw.de.
Universitätsklinikum Würzburg · DEUniversity of Würzburg · DE

Funding

Bundesministerium für Bildung und Forschung 01EO1004Bundesministerium für Bildung und Forschung 01EO1504
6 · The paper itself

Abstract

backgroundHeart failure is the predominant cause of hospitalization and amongst the leading causes of death in Germany. However, accurate estimates of prevalence and incidence are lacking. Reported figures originating from different information sources are compromised by factors like economic reasons or documentation quality.

methodsWe implemented a clinical data warehouse that integrates various information sources (structured parameters, plain text, data extracted by natural language processing) and enables reliable approximations to the real number of heart failure patients. Performance of ICD-based diagnosis in detecting heart failure was compared across the years 2000-2015 with (a) advanced definitions based on algorithms that integrate various sources of the hospital information system, and (b) a physician-based reference standard.

resultsApplying these methods for detecting heart failure in inpatients revealed that relying on ICD codes resulted in a marked underestimation of the true prevalence of heart failure, ranging from 44% in the validation dataset to 55% (single year) and 31% (all years) in the overall analysis. Percentages changed over the years, indicating secular changes in coding practice and efficiency. Performance was markedly improved using search and permutation algorithms from the initial expert-specified query (F1 score of 81%) to the computer-optimized query (F1 score of 86%) or, alternatively, optimizing precision or sensitivity depending on the search objective.

conclusionsEstimating prevalence of heart failure using ICD codes as the sole data source yielded unreliable results. Diagnostic accuracy was markedly improved using dedicated search algorithms. Our approach may be transferred to other hospital information systems.

Indexed as

AlgorithmsElectronic Health RecordsForecastingInpatientsFemaleFollow-Up StudiesGermanyHeart FailureHumansMalePatient DischargePrevalenceRetrospective StudiesData warehouseElectronic health recordsHeart failureICD codingInformation extraction

Identifiers

PMID29667017
PMCPMC6105250
OpenAlexW2801924277

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.