Evidence map›Paper›PMID 42770118›Full record

ArticleJournal of medical biochemistry2026

Predictive value of haematological indices on mortality in patients with empyema.

Ali Kutta Çelik, Abdikani Ali Salad, Okke Zortuk

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ali Kutta ÇelikDepartment of Infectious Diseases and Clinical Microbiology Mogadishu-Somalia-Turkey Recep Tayyip Erdo an Training and Research Hospital, Mogadishu, Somalia.
Abdikani Ali SaladDepartment of Thoracic Surgery Mogadishu-Somalia-Turkey Recep Tayyip Erdo an Training and Research Hospital, Mogadishu, Somalia.
Okke ZortukDepartment of Emergency Medicine, Hatay Defne State Hospital, Hatay, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Empyema is an infectious disease characterised by the accumulation of pus in the pleural space, accompanied by inflammation. Patients often present with fever, chest pain, dyspnea, or cough, and delayed diagnosis or treatment is associated with a high mortality rate. Therefore, in this study, we aimed to investigate the clinical utility of the Systemic Inflammation Response Index (SIRI), Pan-Immune Value (PIV), C-Reactive Protein (CRP)-Albumin-Lymphocyte (CALLY) index, and the Systemic Immune-Inflammation Index (SII) to assess the severity of empyema and predict mortality risk. Methods: Seventy-three patients diagnosed with empyema in the thoracic surgery clinic between January 2022 and October 2024 were included in the study. Patients were categorised based on their need for intensive care. Demographic and laboratory data (white blood cell count, platelet count, albumin levels, pleural fluid culture results, and C-reactive protein levels) were recorded. Differences between empyema patient groups classified according to disease severity were analysed. Results: Among the 73 patients included in our study, four deaths were recorded. The CALLY index could be used for intensive care and ward triage (p= 0.039). Although the SII and SIRI indices were not suitable for triage purposes, the SIRI index was found to help predict mortality (p= 0.01). Conclusions: In empyema cases, the CALLY index can be used to determine the need for intensive care, whereas the SIRI can help predict mortality risk.

Indexed as

biomarkerCALLYempyema severityHALPPIVSIISIRI

Identifiers

PMID42770118
PMCPMC13592868

What OpenQuestion holds

Textmetadata
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.