Evidence map›Paper›PMID 31171006›Full record

ArticleCritical care (London, England)2019

In-hospital mortality associated with the misdiagnosis or unidentified site of infection at admission.

Toshikazu Abe, Yasuharu Tokuda, Atsushi Shiraishi, Seitaro Fujishima, Toshihiko Mayumi, Takehiro Sugiyama, Gautam A Deshpande, Yasukazu Shiino, Toru Hifumi, Yasuhiro Otomo and 11 more

Abstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Observational
  7. The Effect of Sepsis Recognition on Telemedicine Use in Rural Emergency Department Sepsis Treatment.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Association of Diagnostic Discrepancy with Length of Stay and Mortality in Congestive Heart Failure Patients Admitted to the Emergency Department.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Toshikazu AbeDepartment of General Medicine, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. abetoshi111@gmail.com.
Yasuharu TokudaDepartment of Medicine, Muribushi Project for Okinawa Residency Programs, Okinawa, Japan.
Atsushi ShiraishiEmergency and Trauma Center, Kameda Medical Center, Kamogawa, Japan.
Seitaro FujishimaCenter for General Medicine Education, Keio University School of Medicine, Tokyo, Japan.
Toshihiko MayumiDepartment of Emergency Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Takehiro SugiyamaDepartment of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Gautam A DeshpandeDepartment of General Medicine, Juntendo University, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Yasukazu ShiinoDepartment of Acute Medicine, Kawasaki Medical School, Kurashiki, Japan.
Toru HifumiDepartment of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan.
Yasuhiro OtomoTrauma and Acute Critical Care Center, Medical Hospital, Tokyo Medical and Dental University, Tokyo, Japan.
Kohji OkamotoDepartment of Surgery, Center for Gastroenterology and Liver Disease, Kitakyushu City Yahata Hospital, Kitakyushu, Japan.
Joji KotaniDepartment of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Yuichiro SakamotoEmergency and Critical Care Medicine, Saga University Hospital, Saga, Japan.
Junichi SasakiDepartment of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan.
Shin-Ichiro ShiraishiDepartment of Emergency and Critical Care Medicine, Aizu Chuo Hospital, Aizuwakamatsu, Japan.
Kiyotsugu TakumaEmergency & Critical Care Center, Kawasaki Municipal Kawasaki Hospital, Kawasaki, Japan.
Akiyoshi HagiwaraDepartment of Emergency Medicine, Niizashiki Chuo General Hospital, Niiza, Japan.
Kazuma YamakawaDivision of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan.
Naoshi TakeyamaAdvanced Critical Care Center, Aichi Medical University Hospital, Nagakute, Japan.
Satoshi GandoDivision of Acute and Critical Care Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
JAAM SPICE Study Group

Funding

Japanese Association for Acute Medicine 2014-01
6 · The paper itself

Abstract

backgroundRapid detection, early resuscitation, and appropriate antibiotic use are crucial for sepsis care. Accurate identification of the site of infection may facilitate a timely provision of appropriate care. We aimed to investigate the relationship between misdiagnosis of the site of infection at initial examination and in-hospital mortality.

methodsThis was a secondary-multicenter prospective cohort study involving 37 emergency departments. Consecutive adult patients with infection from December 2017 to February 2018 were included. Misdiagnosis of the site of infection was defined as a discrepancy between the suspected site of infection at initial examination and that at final diagnosis, including those infections remaining unidentified during hospital admission, whereas correct diagnosis was defined as site concordance. In-hospital mortality was compared between those misdiagnosed and those correctly diagnosed.

resultsOf 974 patients included in the analysis, 11.6% were misdiagnosed. Patients diagnosed with lung, intra-abdominal, urinary, soft tissue, and CNS infection at the initial examination, 4.2%, 3.8%, 13.6%, 10.9%, and 58.3% respectively, turned out to have an infection at a different site. In-hospital mortality occurred in 15%. In both generalized estimating equation (GEE) and propensity score-matched models, misdiagnosed patients exhibited higher mortality despite adjustment for patient background, site infection, and severity. The adjusted odds ratios (misdiagnosis vs. correct diagnosis) for in-hospital mortality were 2.66 (95% CI, 1.45-4.89) in the GEE model and 3.03 (95% CI, 1.24-7.38) in the propensity score-matched model. The difference in the absolute risk in the GEE model was 0.11 (0.04-0.18).

conclusionsAmong patients with infection, misdiagnosed site of infection is associated with a > 10% increase in in-hospital mortality.

Indexed as

AgedAged, 80 and overCohort StudiesDelayed DiagnosisFemaleHospitalizationHospital MortalityHumansInfectionsLength of StayMaleMiddle AgedOdds RatioPropensity ScoreProspective StudiesDiagnosisInfectionSepsisSource

Identifiers

PMID31171006
PMCPMC6551884

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.