Evidence map›Paper›PMID 35022026›Full record

Observational studyBMC pulmonary medicine2022

A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study.

Toshihiro Sakakibara, Yuichiro Shindo, Daisuke Kobayashi, Masahiro Sano, Junya Okumura, Yasushi Murakami, Kunihiko Takahashi, Shigeyuki Matsui, Tetsuya Yagi, Hideo Saka and 1 more

Open access · goldAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Observational
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

11 authors at 6 institutions in 1 country.

Toshihiro SakakibaraDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Yuichiro ShindoDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. yshindo@med.nagoya-u.ac.jp.
Daisuke KobayashiKyoto University Health Service, Kyoto, Japan.
Masahiro SanoDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Junya OkumuraDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Yasushi MurakamiDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Kunihiko TakahashiDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shigeyuki MatsuiDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tetsuya YagiDepartment of Infectious Diseases, Nagoya University Hospital, Nagoya, Japan.
Hideo SakaDepartment of Respiratory Medicine, Matsunami General Hospital, Gifu, Japan.
Yoshinori HasegawaDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Nagoya University · JPKyoto University · JPMatsunami General Hospital · JPNagoya University Hospital · JPTokyo Medical and Dental University · JPToyota Memorial Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pneumonia (HCAP) is limited. The objective of this study is to develop and validate a new prediction system for SAEs in inpatients with CAP.

methodsLogistic regression analysis was performed in 1334 inpatients of a prospective multicenter study to develop a multivariate model predicting SAEs (death, requirement of mechanical ventilation, and vasopressor support within 30 days after diagnosis). The developed ALL-COP-SCORE rule based on the multivariate model was validated in 643 inpatients in another prospective multicenter study.

resultsThe ALL-COP SCORE rule included albumin (< 2 g/dL, 2 points; 2-3 g/dL, 1 point), white blood cell (< 4000 cells/μL, 3 points), chronic lung disease (1 point), confusion (2 points), PaO

conclusionsALL-COP SCORE rule can be useful to predict SAEs and aid in decision-making on treatment intensity for all inpatients with CAP including those with HCAP. Higher-intensity treatment should be considered in patients with CAP and an ALL-COP SCORE threshold of ≥ 4 points.

trial registrationThis study was registered with the University Medical Information Network in Japan, registration numbers UMIN000003306 and UMIN000009837.

Indexed as

Clinical Decision RulesSeverity of Illness IndexAdultAgedCommunity-Acquired InfectionsFemaleHumansInpatientsJapanMaleMiddle AgedMultivariate AnalysisPneumoniaRisk AssessmentRisk FactorsYoung AdultHealthcare-associated pneumoniaMortalityPrediction scoreSevere pneumoniaSeverity

Identifiers

PMID35022026
PMCPMC8753951
OpenAlexW4206208672

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.