Evidence map›Paper›PMID 35831049›Full record

Observational studyBMJ open2022

Accuracy of algorithms to identify patients with a diagnosis of major cancers and cancer-related adverse events in an administrative database: a validation study in an acute care hospital in Japan.

Takashi Fujiwara, Takashi Kanemitsu, Kosei Tajima, Akinori Yuri, Masahiro Iwasaku, Yasuyuki Okumura, Hironobu Tokumasu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Observational
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  6. Article
  7. A scoping review of the methodological approaches used in retrospective chart reviews to validate adverse event rates in administrative data.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  8. Article
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  10. Article
  11. 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

7 authors at 1 institution in 1 country.

Takashi FujiwaraDepartment of Management, Clinical Research Center, Kurashiki Central Hospital, Kurashiki, Japan.ORCID 0000-0002-6790-8713
Takashi KanemitsuMedical Affairs Division, Chugai Pharmaceutical Co Ltd, Tokyo, Japan.
Kosei TajimaClinical Development Division, Chugai Pharmaceutical Co Ltd, Tokyo, Japan.
Akinori YuriDrug Safety Division, Chugai Pharmaceutical Co Ltd, Tokyo, Japan.
Masahiro IwasakuDepartment of Management, Clinical Research Center, Kurashiki Central Hospital, Kurashiki, Japan.
Yasuyuki OkumuraReal world Data Co., Ltd, Kyoto, Japan.
Hironobu TokumasuDepartment of Management, Clinical Research Center, Kurashiki Central Hospital, Kurashiki, Japan tokumasu@rwdata.co.jp.
Kurashiki Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesValidation studies in oncology are limited in Japan. This study was conducted to evaluate the accuracy of diagnosis and adverse event (AE) definitions for specific cancers in a Japanese health administrative real-world database (RWD). DESIGN AND

settingRetrospective observational validation study to assess the diagnostic accuracy of electronic medical records (EMRs) and claim coding regarding oncology diagnosis and AEs based on medical record review in the RWD. The sensitivity and positive predictive value (PPV) with 95% CIs were calculated.

participantsThe validation cohort included patients with lung (n=2257), breast (n=1121), colorectal (n=1773), ovarian (n=216) and bladder (n=575) cancer who visited the hospital between January 2014 and December 2018, and those with prostate cancer (n=3491) visiting between January 2009 and December 2018, who were identified using EMRs. OUTCOMES: Key outcomes included primary diagnosis, deaths and AEs.

resultsFor primary diagnosis, sensitivity and PPV for the respective cancers were as follows: lung, 100.0% (96.6 to 100.0) and 81.0% (74.9 to 86.2); breast, 100.0% (96.3 to 100.0) and 74.0% (67.3 to 79.9); colorectal, 100.0% (96.6 to 100.0) and 80.5% (74.3 to 85.8); ovarian, 89.8% (77.8 to 96.6) and 75.9% (62.8 to 86.1); bladder, 78.6% (63.2 to 89.7) and 67.3% (52.5 to 0.1); prostate, 100.0% (93.2 to 100.0) and 79.0% (69.7 to 86.5). Sensitivity and PPV for death were as follows: lung, 97.0% (84.2 to 99.9) and 100.0% (84.2 to 100.0); breast, 100.0% (1.3 to 100.0) and 100.0% (1.3 to 100.0); colorectal, 100.0% (28.4 to 100.0) and 100.0% (28.4 to 100.0); ovarian, 100.0% (35.9 to 100.0) and 100.0% (35.9 to 100.0); bladder, 100.0% (9.4-100.0) and 100.0% (9.4 to 100.0); prostate, 75.0% (19.4 to 99.4) and 100.0% (19.4 to 100.0). Overall, PPV tended to be low, with the definition based on International Classification of Diseases, 10th revision alone for AEs.

conclusionDiagnostic accuracy was not so high, and therefore needs to be further investigated. TRIAL REGISTRATION NUMBER: University Hospital Medical Information Network (UMIN) Clinical Trials Registry (UMIN000039345).

Indexed as

Colorectal NeoplasmsInternational Classification of DiseasesAlgorithmsDatabases, FactualHospitalsHumansJapanMaleRetrospective StudiesAdult oncologyBreast tumoursGynaecological oncologyRespiratory tract tumoursUrological tumours

Identifiers

PMID35831049
PMCPMC9280899
OpenAlexW4285099065

What OpenQuestion holds

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LicenceCC BY-NC
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.