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[Hypophosphatemia is associated with poor prognosis of critically ill patients: a meta-analysis of 1 555 patients].

2018· review· en· W3024060090 on OpenAlexaboutno aff
Bo Liu, Yumei Cheng, Feng Shen, Ya‐Hui Wang, Yanqi Wu, Ling Yao, Yuqing Liu, Xianbi Gou

Bibliographic record

VenuePubMed · 2018
Typereview
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypophosphatemiaMeta-analysisIntensive care unitCochrane LibraryInternal medicineConfidence intervalSubgroup analysisCritically illCase fatality rateProspective cohort studyPublication biasIntensive care medicineEpidemiology

Abstract

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OBJECTIVE: To evaluate the relationship between hypophosphatemia and prognosis in critically ill patients. METHODS: Some hypophosphatemia-associated prospective or retrospective clinical cohort studies were searched through CNKI, Wanfang Data, PubMed, Embase, Cochrane library, and Google Scholar English database respectively, with the guidance of these key words such as hypophosphatemia, intensive care, prognosis and fatality rate. The articles were concerned about the correlation between hypophosphatemia and the prognosis of patients in intensive care unit (ICU). The literatures collected were restricted from the creation of data base to April 2017. The mean value of < 0.8 mmol/L in serum phosphorus concentrations of the patients within the first 2 days of ICU admission would be treated as the diagnostic criteria of hypophosphatemia. Literature qualities were assessed by Newcastle-Ottawa scale (NOS). Meta-analysis was carried out by RevMan 5.3, and the sensitivity analysis was performed to test the stability of the meta-analysis. The existence of bias was analyzed by using the funnel graph analysis. RESULTS: Ten articles were ultimately included in the analysis, including 9 in Chinese and 1 in English, all of which were high qualities. 1 555 patients were involved in these clinical studies, of whom 606 patients had hypophosphatemia and other 949 were normal phosphatemia. Meta analysis results showed that patients with hypophosphatemia had higher acute physiology and chronic health evaluation II (APACHE II) score as compared with that of normal phosphatemia group [standardized mean difference (SMD) = 0.64, 95% confidence interval (95%CI) = 0.24-1.04, P = 0.002]. Subgroup analysis showed that APACHE II score increased in mild, moderate and severe hyperphosphatemia subgroups, and there were significant differences between any two subgroups (all P < 0.01). Longer duration of mechanical ventilation (SMD = 0.50, 95%CI = 0.23-0.78, P = 0.000 3) and the length of ICU stay (SMD = 0.36, 95%CI = 0.06-0.67, P = 0.02), and even higher ICU mortality [odds ratio (OR) = 2.99, 95%CI = 2.09-4.27, P < 0.000 01] were seen in patients with hypophosphatemia as compared with normal phosphatemia patients. However, serum creatinine (SCr) levels (SMD = -0.19, 95%CI = -2.76-2.39, P = 0.89) and serum albumin (Alb) level (SMD = -0.63, 95%CI = -1.54-0.27, P = 0.17) were all similar between hypophosphatemic group and normal phosphatemia group. Sensitivity analysis excluded the effect of heterogeneity on statistical results. The funnel graphics were basically symmetrical, which indicated that the included literatures were distributed well, and the publication bias was small. CONCLUSIONS: Occurrence of hypophosphatemia in ICU patients is associated with severity of illness, prolonged duration of MV and length of ICU stay, and higher mortalities. Levels of serum phosphorus may have certain clinical values for assessing prognosis of ICU patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.037
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.311
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations17
Published2018
Admission routes1
Has abstractyes

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