Evidence map›Paper›PMID 41559560›Full record

Observational studyBMC gastroenterology2026

Inflammatory indices as independent predictors of in-hospital mortality in acute upper gastrointestinal bleeding.

Mustafa Oguz Cumaoglu, Abdussamed Vural, Mustafa Alpaslan, Turgut Dolanbay, Abdul Ridvan Kulu, Ercan Sezgin, Seyyid Rasim Yanmaz

Abstract readObservational Study
In one paragraph

Observational study in BMC gastroenterology, 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

7 authors.

Mustafa Oguz CumaogluDepartment of Emergency Medicine, Nigde Omer Halisdemir University Faculty of Medicine, Nigde, 51240, Turkey. mustafaoguzcumaoglu@ohu.edu.tr.
Abdussamed VuralDepartment of Emergency Medicine, Nigde Omer Halisdemir University Faculty of Medicine, Nigde, 51240, Turkey.
Mustafa AlpaslanDepartment of Emergency Medicine, Nevsehir Public Hospital, Nevşehir, 50200, Turkey.
Turgut DolanbayDepartment of Emergency Medicine, Malatya Turgut Ozal University School of Medicine, Malatya, 44280, Turkey.
Abdul Ridvan KuluDepartment of Surgery, Nigde Omer Halisdemir University Faculty of Medicine, Nigde, 51240, Turkey.
Ercan SezginDepartment of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, 38030, Turkey.
Seyyid Rasim YanmazDepartment of Emergency Medicine, Nigde Omer Halisdemir University Faculty of Medicine, Nigde, 51240, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute upper gastrointestinal bleeding (UGIB) remains a high-risk emergency with non-negligible in-hospital mortality. Inflammatory indices derived from routine admission tests may provide additional bedside information reflecting inflammatory burden and physiologic reserve, but their prognostic value in UGIB is not well defined.

methodsIn this retrospective single-center observational study, 502 consecutive adults admitted via the emergency department with UGIB (December 2022–2024) were analyzed. Demographic, clinical (including melena/hematemesis), comorbidity, bleeding etiology (variceal vs. non-variceal), endoscopy-related variables when available, transfusion status, and laboratory data were extracted from electronic records. Platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), and neutrophil-to-albumin ratio (NAR) were calculated at admission. Predictors of in-hospital mortality were assessed using ROC analysis and logistic regression; two multivariable models were reported to address overlap between melena and hematemesis.

resultsOverall in-hospital mortality was 9.4% (47/502). Non-survivors had lower admission hemoglobin, albumin, and platelet counts and higher INR. PLR, PNI, and NAR were associated with mortality in univariable analyses. In multivariable Model 1 (including melena), low PLR (OR = 4.734, 95% CI = 2.352–9.529; p < 0.001), low PNI (OR = 3.041, 95% CI = 1.488–6.216; p = 0.002), lower hemoglobin (OR = 0.896 per 1 g/dL increase, 95% CI = 0.809–0.992; p = 0.035), and melena (OR = 2.318, 95% CI = 1.131–4.747; p = 0.022) were independently associated with mortality. In Model 2 (melena replaced by hematemesis), low PLR (OR = 3.890, 95% CI = 1.894–7.989; p < 0.001), hematemesis (OR = 4.922, 95% CI = 2.385–10.157; p < 0.001), and lower hemoglobin (OR = 0.900 per 1 g/dL increase, 95% CI = 0.811–0.998; p = 0.046) remained significant, whereas PNI and NAR were not independently associated. ROC discrimination for PLR/PNI/NAR was modest (AUC 0.612/0.604/0.594, respectively), indicating limited stand-alone predictive performance.

conclusionAdmission PLR showed the most consistent independent association with in-hospital mortality across alternative multivariable models, while the independent contribution of PNI appeared model-dependent. Given the modest AUCs, these indices should be interpreted as adjunctive markers alongside clinical and endoscopic assessment rather than as stand-alone predictors. Prospective multicenter studies with standardized data capture are warranted to evaluate their incremental value within established UGIB risk stratification pathways.

Indexed as

Gastrointestinal HemorrhageHospital MortalityAcute DiseaseAgedAged, 80 and overFemaleHemoglobinsHumansLogistic ModelsMaleMiddle AgedNeutrophilsNutrition AssessmentPlatelet CountPredictive Value of TestsPrognosisHemoglobinsSerum AlbuminIn-hospital mortalityNeutrophil-to-albumin ratioPlatelet-to-lymphocyte ratioPrognostic nutritional indexUpper gastrointestinal bleeding

Identifiers

PMID41559560
PMCPMC12905905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.