Evidence map›Paper›PMID 35689019›Full record

SynthesisScientific reports2022

Predictive value of computed tomography for short-term mortality in patients with acute respiratory distress syndrome: a systematic review.

Hiroyuki Hashimoto, Shota Yamamoto, Hiroaki Nakagawa, Yoshihiro Suido, Shintaro Sato, Erina Tabata, Satoshi Okamori, Takuo Yoshida, Koichi Ando, Shigenori Yoshitake and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Observational
  3. Review
  4. Review
  5. Article
  6. 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

11 authors.

Hiroyuki Hashimoto *Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto, Japan.
Shota Yamamoto *Department of Radiology, Tokai University Hospital, Tokai University School of Medicine, Kanagawa, Japan. yamasho1113x1987@gmail.com.
Hiroaki NakagawaDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan.
Yoshihiro SuidoDepartment of Respiratory Medicine, Asao General Hospital, Kanagawa, Japan.
Shintaro SatoDepartment of Respiratory Medicine, Saitama Red Cross Hospital, Saitama, Japan.
Erina TabataDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Centre, Kanagawa, Japan.
Satoshi OkamoriDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takuo YoshidaDepartment of Intensive Care Medicine, Tokyo Women's Medical University, Tokyo, Japan.
Koichi AndoDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Shigenori YoshitakeDepartment of Health Science, Kyushu University of Health and Welfare, Miyazaki, Japan.
Yohei OkadaDepartment of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The best available evidence and the predictive value of computed tomography (CT) findings for prognosis in patients with acute respiratory distress syndrome (ARDS) are unknown. We systematically searched three electronic databases (MEDLINE, CENTRAL, and ClinicalTrials.gov). A total of 410 patients from six observational studies were included in this systematic review. Of these, 143 patients (34.9%) died due to ARDS in short-term. As for CT grade, the CTs used ranged from 4- to 320-row. The index test included diffuse attenuations in one study, affected lung in one study, well-aerated lung region/predicted total lung capacity in one study, CT score in one study and high-resolution CT score in two studies. Considering the CT findings, pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 62% (95% confidence interval [CI] 30-88%), 76% (95% CI 57-89%), 2.58 (95% CI 2.05-2.73), 0.50 (95% CI 0.21-0.79), and 5.16 (95% CI 2.59-3.46), respectively. This systematic review revealed that there were major differences in the definitions of CT findings, and that the integration of CT findings might not be adequate for predicting short-term mortality in ARDS. Standardisation of CT findings and accumulation of further studies by CT with unified standards are warranted.

Indexed as

Respiratory Distress SyndromeHumansLungPrognosisTomography, X-Ray ComputedTotal Lung Capacity

Identifiers

PMID35689019
PMCPMC9185136

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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.