Evidence map›Paper›PMID 28928176›Full record

Observational studyBMJ open2017

Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study.

Xiaonan Sun, Leiming Luo, Xiaoqian Zhao, Ping Ye

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Association of controlling nutritional status score and long-term mortality in acute pulmonary embolism.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2025
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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

4 authors.

Xiaonan SunDepartment of Geriatric Cardiolog, Chinese People's Liberation Army General Hospital, Beijing, China.
Leiming LuoDepartment of Geriatric Cardiolog, Chinese People's Liberation Army General Hospital, Beijing, China.
Xiaoqian ZhaoDepartment of Cardiology, Chinese People's Liberation Army 305 Hospital, Beijing, China.
Ping YeDepartment of Geriatric Cardiolog, Chinese People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to elucidate the impact of nutritional status on survival per Controlling Nutritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI) in patients with hypertension over 80 years of age.

designProspective follow-up study.

participantsA total of 336 hypertensive patients over 80 years old were included in this study. OUTCOME MEASURES: All-cause deaths were recorded as Kaplan-Meier curves to evaluate the association between CONUT and all-cause mortality at follow-up. Cox regression models were used to investigate the prognostic value of CONUT and GNRI for all-cause mortality in the 90-day period after admission.

resultsHypertensive patients with higher CONUT scores exhibited higher mortality within 90 days after admission (1.49%, 6.74%, 15.38%, respectively, χ

conclusionNutritional status assessed via CONUT is an accurate predictor of all-cause mortality 90 days postadmission. Evaluation of nutritional status may provide additional prognostic information in hypertensive patients.

Indexed as

Nutritional StatusNutrition AssessmentAged, 80 and overArea Under CurveBlood GlucoseBody Mass IndexCause of DeathFemaleFollow-Up StudiesHemoglobinsHumansHypertensionKaplan-Meier EstimateMaleProportional Hazards ModelsProspective StudiesBlood GlucoseHemoglobinsSerum Albuminall-cause mortalitycounthypertensionnutritional status

Identifiers

PMID28928176
PMCPMC5623525

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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.