Evidence map›Paper›PMID 35922436›Full record

Observational studyScientific reports2022

Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study.

Mina Adolf Helmy, Lydia Magdy Milad, Ahmed Hasanin, Yasmin S Elbasha, Hala A ElSabbagh, Mohamed S Elmarzouky, Maha Mostafa, Amr K Abdelhakeem, Mohamed Abd El-Monem Morsy

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Mina Adolf HelmyDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Lydia Magdy MiladDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Ahmed HasaninDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt. ahmedmohamedhasanin@gmail.com.
Yasmin S ElbashaDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Hala A ElSabbaghDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mohamed S ElmarzoukyDepartment of General Surgery, Cairo University, Cairo, Egypt.
Maha MostafaDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Amr K AbdelhakeemDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mohamed Abd El-Monem MorsyDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study we aimed to evaluate the ability of IMPROVE and IMPROVE-DD scores in predicting in-hospital mortality in patients with severe COVID-19. This prospective observational study included adult patients with severe COVID-19 within 12 h from admission. We recorded patients' demographic and laboratory data, Charlson comorbidity index (CCI), SpO

Indexed as

COVID-19AdultAPACHEHospital MortalityHumansIntensive Care UnitsPrognosisProspective StudiesRetrospective StudiesROC Curve

Identifiers

PMID35922436
PMCPMC9349222
OpenAlexW4289550158

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.