Evidence map›Paper›PMID 38960455›Full record

ArticleBMJ open2024

Predictive value of the dynamics of absolute lymphocyte counts for 90-day mortality in ICU sepsis patients: a retrospective big data study.

Daonan Chen, Kun Zhou, Rui Tian, Ruilan Wang, Zhigang Zhou

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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

5 authors.

Daonan Chen *Shanghai General Hospital, Department of Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kun Zhou *Shanghai General Hospital, Department of Hematology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui TianShanghai General Hospital, Department of Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruilan WangShanghai General Hospital, Department of Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China zhou_zhigang1980@163.com wangyusun@hotmail.com.
Zhigang ZhouShanghai General Hospital, Department of Critical Care Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China zhou_zhigang1980@163.com wangyusun@hotmail.com.ORCID 0000-0001-7641-3467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of the study was to assess the clinical predictive value of the dynamics of absolute lymphocyte count (ALC) for 90-day all-cause mortality in sepsis patients in intensive care unit (ICU).

designRetrospective cohort study using big data.

settingThis study was conducted using the Medical Information Mart for Intensive Care IV database V.2.0 database. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was 90-day all-cause mortality.

participantsPatients were included if they were diagnosed with sepsis on the first day of ICU admission. Exclusion criteria were ICU stay under 24 hours; the absence of lymphocyte count on the first day; extremely high lymphocyte count (>10×10

resultsThe ALC in the non-survivors group was lower on days 1, 3, 5 and 7 after admission (p<0.001). The ALC on day 7 had the highest area under the curve (AUC) value for predicting 90-day mortality. The cut-off value of ALC on day 7 was 1.0×10

conclusionsDynamic changes of ALC are closely associated with 90-day all-cause mortality in sepsis patients. Furthermore, the ALC on day 7 after admission is a better independent predictor of 90-day mortality in sepsis patients, especially in severely ill or young sepsis patients.

Indexed as

Intensive Care UnitsSepsisAgedBig DataFemaleHospital MortalityHumansLymphocyte CountMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective Studiesadult intensive & critical careinfectious diseasesmortality

Identifiers

PMID38960455
PMCPMC11227848

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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.