Evidence map›Paper›PMID 30835500›Full record

ArticleThe British journal of radiology2019

Large hospital variation in the utilization of Post-procedural CT to detect pulmonary embolism/Deep Vein Thrombosis in Patients Undergoing Total Knee or Hip Replacement Surgery: Japanese Nationwide Diagnosis Procedure Combination Database Study.

Kanako K Kumamaru, Hiraku Kumamaru, Hideo Yasunaga, Hiroki Matsui, Toshinobu Omiya, Masaaki Hori, Michimasa Suzuki, Akihiko Wada, Koji Kamagata, Tomohiro Takamura and 3 more

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  4. 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

13 authors at 2 institutions in 1 country.

Kanako K Kumamaru1 Department of Radiology, Juntendo University , Tokyo , Japan.ORCID http://orcid.org/0000-0001-5924-3283
Hiraku Kumamaru2 Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo , Tokyo , Japan.
Hideo Yasunaga3 Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo , Japan.
Hiroki Matsui3 Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo , Japan.
Toshinobu Omiya4 Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo , Japan.
Masaaki Hori1 Department of Radiology, Juntendo University , Tokyo , Japan.
Michimasa Suzuki1 Department of Radiology, Juntendo University , Tokyo , Japan.
Akihiko Wada1 Department of Radiology, Juntendo University , Tokyo , Japan.
Koji Kamagata1 Department of Radiology, Juntendo University , Tokyo , Japan.
Tomohiro Takamura1 Department of Radiology, Juntendo University , Tokyo , Japan.
Ryusuke Irie1 Department of Radiology, Juntendo University , Tokyo , Japan.
Atsushi Nakanishi1 Department of Radiology, Juntendo University , Tokyo , Japan.
Shigeki Aoki1 Department of Radiology, Juntendo University , Tokyo , Japan.
Juntendo University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of the study was to investigate variation in the use of in-hospital CT for venous thromboembolism (VTE) detection after total knee or hip replacement (TKR/THR) among surgical patients, using a nationwide Japanese in-hospital administrative database.

methodsThis retrospective study using a national administrative database (4/2012-3/2013) extracted patients who underwent TKR/THR surgeries at hospitals meeting the annual case-volume threshold of ≥ 30. Hospitals were categorized into three equally sized groups by frequency of postoperative CT use (low, middle, and high CT use group) to compare baseline patient-level and hospital-level characteristics. To further investigate between-hospital variation in CT usage, we fitted a hierarchical logistic regression model including hospital-specific random intercepts and fixed patient- and hospital-level effects. The intra class correlation coefficient was used to measure the amount of variability in CT use attributable to between-hospital variation.

resultsA total of 39,127 patients discharged from 447 hospitals met the inclusion criteria. The median hospital stay was 25 days (interquartile range, 20 - 32) and 7,599 (19.4%) patients underwent CT for VTE. CT utilization varied greatly among the hospitals; the crude frequency ranged from 0 to 100 % (median, 7.3 %; interquartile range, 1.8 - 18.3 %). After adjustment for known hospital- and patient-level factors related to CT use, 47 % of the variation in CT use remained attributable to the behavior of individual hospitals.

conclusionWe observed large inter hospital variability in the utilization of post-procedure CT for VTE detection in this Japanese TKR/THR cohort, suggesting that CT utilization is not optimized across the nation. ADVANCES IN KNOWLEDGE: We observed significant variability in the utilization of post-procedure CT for VTE detection among inpatients who underwent TKR/THR surgeries in a large sample of Japanese hospitals. The large variation suggests that CT utilization is not optimized across the nation, and that there may be potential overutilization of the technology in the highest CT use hospitals.

Indexed as

Procedures and Techniques UtilizationAdultAgedArthroplasty, Replacement, HipArthroplasty, Replacement, KneeDatabases, FactualFemaleHospital MortalityHospitalsHumansJapanLength of StayLogistic ModelsMaleMiddle AgedPostoperative Complications

Identifiers

PMID30835500
PMCPMC6580911
OpenAlexW2920721683

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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.