Evidence map›Paper›PMID 28490564›Full record

ArticleBMJ open2017

Association between serum osmolarity and mortality in patients who are critically ill: a retrospective cohort study.

Yanfei Shen, Xuping Cheng, Manzhen Ying, Hao-Tang Chang, Weimin Zhang

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

36 citing papers in PubMed, 53 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Yanfei ShenDepartment of Intensive Care Unit, Dongyang People's Hospital, Jinhua, China.
Xuping ChengDepartment of Intensive Care Unit, Dongyang People's Hospital, Jinhua, China.
Manzhen YingDepartment of Intensive Care Unit, Dongyang People's Hospital, Jinhua, China.
Hao-Tang ChangDepartment of Science and Education, Dongyang People's Hospital, Jinhua, China.
Weimin ZhangDepartment of Intensive Care Unit, Dongyang People's Hospital, Jinhua, China.
Wenzhou Medical University · CNDongyang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis research aims to explore the association between serum osmolarity and mortality in patients who are critically ill with specific categories of disease.

designA retrospective cohort study. SETTING AND

participantsData were extracted from an online database named 'Multiparameter Intelligent Monitoring in Intensive Care II'. 16 598 patients were included.

methodsPatients were divided into six disease subgroups based on the diagnosis at admission: cardiac, cerebral, vascular, gastrointestinal, respiratory and non-respiratory. The association between maximum osmolarity (osmolarity

resultsAnalysis of the 16 598 patients revealed a 'U'-shaped relationship between osmolarity and mortality with a threshold of 300 mmoL/L. For patients with non-respiratory disease, both hypo-osmolarity and hyperosmolarity

conclusionsHyperosmolarity is associated with increased mortality in patients who are critically ill with cardiac, cerebral, vascular and gastrointestinal admission diagnoses, with thresholds at 300 mmoL/L. For patients with respiratory disease, however, no significant association was detected.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overBlood GlucoseBostonCritical IllnessFemaleHospitalizationHumansHypernatremiaIntensive Care UnitsLogistic ModelsMaleMiddle AgedOsmolar ConcentrationBlood GlucoseSodiumICUmortalityrespiratory diseaseserum osmolarityvasopressin

Identifiers

PMID28490564
PMCPMC5623375
OpenAlexW2613189085

What OpenQuestion holds

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LicenceCC BY-NC
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.