Evidence map›Paper›PMID 34903833›Full record

ArticleScientific reports2021

Development and validation of a new scoring system for prognostic prediction of community-acquired pneumonia in older adults.

Masahiro Shirata, Isao Ito, Tadashi Ishida, Hiromasa Tachibana, Naoya Tanabe, Satoshi Konishi, Issei Oi, Nobuyoshi Hamao, Kensuke Nishioka, Hisako Matsumoto and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Observational
  8. 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

18 authors at 8 institutions in 1 country.

Masahiro ShirataDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Isao ItoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan. isaoito@kuhp.kyoto-u.ac.jp.
Tadashi IshidaDepartment of Respiratory Medicine, Ohara Healthcare Foundation, Kurashiki Central Hospital, Okayama, Japan.
Hiromasa TachibanaDepartment of Respiratory Medicine, Ohara Healthcare Foundation, Kurashiki Central Hospital, Okayama, Japan.
Naoya TanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Satoshi KonishiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Issei OiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Nobuyoshi HamaoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Kensuke NishiokaDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Hisako MatsumotoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Yoshiro YasutomoDepartment of Internal Medicine, Ono Municipal Hospital, Hyogo, Japan.
Seizo KadowakiDepartment of Internal Medicine, Ono Municipal Hospital, Hyogo, Japan.
Hisashi OhnishiDepartment of Respiratory Medicine, Akashi Medical Center, Hyogo, Japan.
Hiromi TomiokaDepartment of Respiratory Medicine, Kobe City Medical Center West Hospital, Hyogo, Japan.
Takashi NishimuraDepartment of Respiratory Medicine, Kyoto Katsura Hospital, Kyoto, Japan.
Yoshinori HasegawaDepartment of Respiratory Medicine, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan.
Atsushi NakagawaDepartment of Respiratory Medicine, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan.
Toyohiro HiraiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-kawaharacho, Sakyo, Kyoto, 606-8507, Japan.
Kyoto University · JPKurashiki Central Hospital · JPOno Pharmaceutical (Japan) · JPAkashi Medical Center · JPJapanese Red Cross Society Wakayama Medical Center · JPKobe City Medical Center West Hospital · JPKyoto Katsura Hospital · JPSaiseikai Nakatsu Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discriminative power of CURB-65 for mortality in community-acquired pneumonia (CAP) is suspected to decrease with age. However, a useful prognostic prediction model for older patients with CAP has not been established. This study aimed to develop and validate a new scoring system for predicting mortality in older patients with CAP. We recruited two prospective cohorts including patients aged ≥ 65 years and hospitalized with CAP. In the derivation (n = 872) and validation cohorts (n = 1,158), the average age was 82.0 and 80.6 years and the 30-day mortality rate was 7.6% (n = 66) and 7.4% (n = 86), respectively. A new scoring system was developed based on factors associated with 30-day mortality, identified by multivariate analysis in the derivation cohort. This scoring system named CHUBA comprised five variables: confusion, hypoxemia (SpO

Indexed as

AgedAged, 80 and overBedridden PersonsBlood Urea NitrogenCommunity-Acquired InfectionsConfusionFemaleHumansHypoxiaMaleMortalityPneumoniaSerum AlbuminSerum Albumin

Identifiers

PMID34903833
PMCPMC8668907
OpenAlexW4200113132

What OpenQuestion holds

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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.