Evidence map›Paper›PMID 36717800›Full record

ArticleBMC pulmonary medicine2023

Development of a prognostic nomogram for sepsis associated-acute respiratory failure patients on 30-day mortality in intensive care units: a retrospective cohort study.

Mengdi Luo, Qing He

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

2 authors.

Mengdi LuoSouthwest Jiaotong University of Medicine/Southwest Jiaotong University Affiliated Chengdu Third People's Hospital, Chengdu, 610031, Sichuan, China.
Qing HeSouthwest Jiaotong University of Medicine/Southwest Jiaotong University Affiliated Chengdu Third People's Hospital, Chengdu, 610031, Sichuan, China. kk555888@126.com.

Funding

the Chengdu Science and Technology Bureau 2017FZ0058the Health Department of Sichuan Province No.17PJ474
6 · The paper itself

Abstract

backgroundAcute respiratory failure is a type of sepsis complicated by severe organ failure. We have developed a new nomogram for predicting the 30-day risk of death in patients through a retrospective study.

methodData was collected and extracted from MIMICIV, with 768 eligible cases randomly assigned to the primary cohort (540) and the validation cohort (228). The final six factors were included by Cox regression analysis to create the Nomogram, the accuracy of the Nomogram was assessed using the C-index and calibration curve, and finally, the clinical usefulness of the Nomogram was evaluated using DCA in.

resultsMultivariate Cox regression analysis showed that age, DBP, lactate, PaO2, platelet, mechanical ventilation were independent factors for 30-day mortality of SA-ARF. The nomogram established based on the six factors. The C-index of nomogram in the primary cohort is 0.731 (95% CI 0.657-0.724) and 0.722 (95%CI 0.622-0.759) in the validation cohort. Besides, the decision curve analysis (DCA) confirmed the clinical usefulness of the nomogram.

conclusionThe study developed and validated a risk prediction model for SA-ARF patients that can help clinicians reasonably determine disease risk and further confirm its clinical utility using internal validation.

Indexed as

Respiratory Distress SyndromeRespiratory InsufficiencySepsisHumansIntensive Care UnitsLactic AcidNomogramsPrognosisRetrospective StudiesLactic AcidIntensive care unitNomogramSepsisSepsis associated-acute respiratory failure

Identifiers

PMID36717800
PMCPMC9885567

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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.