Evidence map›Paper›PMID 33104832›Full record

ArticleWorld journal of surgery2021

Predictors of In-Hospital Mortality in Surgical Wards: A Multivariable Retrospective Cohort Analysis of 2,800,069 Hospitalizations.

Magdalena Walicka, Agnieszka Tuszyńska, Marcin Chlebus, Yaroslav Sanchak, Andrzej Śliwczyński, Melania Brzozowska, Daniel Rutkowski, Monika Puzianowska-Kuźnicka, Edward Franek

Abstract read
In one paragraph

Article in World journal of surgery, 2021. 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. Article
  3. Article
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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

9 authors.

Magdalena WalickaDepartment of Internal Diseases, Endocrinology and Diabetology, Central Clinical Hospital MSWiA, ul. Woloska 137, 02-507, Warsaw, Poland.
Agnieszka TuszyńskaDepartment of Internal Diseases, Endocrinology and Diabetology, Central Clinical Hospital MSWiA, ul. Woloska 137, 02-507, Warsaw, Poland.
Marcin ChlebusDepartment of Quantitative Finance, Faculty of Economic Sciences, University of Warsaw, ul. Dluga 44/50, 00-241, Warsaw, Poland.
Yaroslav SanchakWarsaw Medical University, ul. Zwirki i Wigury 61, 02-091, Warsaw, Poland.
Andrzej ŚliwczyńskiNational Health Fund, ul. Grojecka 186, 02-390, Warsaw, Poland.
Melania BrzozowskaNational Health Fund, ul. Grojecka 186, 02-390, Warsaw, Poland.
Daniel RutkowskiNational Health Fund, ul. Grojecka 186, 02-390, Warsaw, Poland.
Monika Puzianowska-KuźnickaDepartment of Human Epigenetics, Mossakowski Medical Research Centre, Polish Academy of Sciences, ul. Pawinskiego 5, 02-106, Warsaw, Poland.
Edward FranekDepartment of Internal Diseases, Endocrinology and Diabetology, Central Clinical Hospital MSWiA, ul. Woloska 137, 02-507, Warsaw, Poland. edward.franek@cskmswia.pl.

Funding

Instytut Medycyny Doswiadczalnej i Klinicznej im. M. Mossakowskiego, Polskiej Akademii Nauk Grant Numbers Z-519/14, 2019
6 · The paper itself

Abstract

backgroundIdentifying prognostic factors that are predictive of in-hospital mortality for patients in surgical units may help in identifying high-risk patients and developing an approach to reduce mortality. This study analyzed mortality predictors based on outcomes obtained from a national database of adult patients. MATERIALS AND

methodsThis retrospective study design collected data obtained from the National Health Fund in Poland comprised of 2,800,069 hospitalizations of adult patients in surgical wards during one calendar year. Predictors of mortality which were analyzed included: the patient's gender and age, diagnosis-related group category assigned to the hospitalization, length of the hospitalization, hospital type, admission type, and day of admission.

resultsThe overall mortality rate was 0.8%, and the highest rate was seen in trauma admissions (24.5%). There was an exponential growth in mortality with respect to the patient's age, and male gender was associated with a higher risk of death. Compared to elective admissions, the mortality was 6.9-fold and 15.69-fold greater for urgent and emergency admissions (p < 0.0001), respectively. Weekend or bank holiday admissions were associated with a higher risk of death than working day admissions. The "weekend" effect appears to begin on Friday. The highest mortality was observed in less than 1 day emergency cases and with a hospital stay longer than 61 days in any type of admission.

conclusionAge, male gender, emergency admission, and admission on the weekend or a bank holiday are factors associated with greater mortality in surgical units.

Indexed as

Hospital MortalityAdolescentAdultAgedAged, 80 and overCohort StudiesFemaleHospitalizationHumansMaleMiddle AgedPatient AdmissionPolandPostoperative ComplicationsRetrospective StudiesSurgery Department, Hospital

Identifiers

PMID33104832
PMCPMC7773611

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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.