ArticleBMC musculoskeletal disorders2026
Risk factors and external validation of nomogram model for patients with postoperative hemoglobin < 80 g/L after lumbar interbody fusion surgery.
Article in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
objectiveTo identify risk factors for postoperative low hemoglobin (Hb < 80 g/L) after lumbar interbody fusion surgery and to externally validate an existing predictive nomogram developed by Xu Xiong et al. for estimating the risk of postoperative anaemia.
methodsA retrospective analysis was conducted on 830 patients who underwent lumbar interbody fusion surgery at a single tertiary centre. Postoperative outcomes across three Hb strata (< 70 g/L, 70–79 g/L, ≥ 80 g/L) were compared. Logistic regression was applied to identify independent predictors of postoperative Hb < 80 g/L. The nomogram was externally validated by assessing discrimination, calibration, precision-recall performance, threshold-dependent behaviour, and decision-curve utility.
resultsLower postoperative Hb levels were associated with greater postoperative resource utilisation, including higher transfusion rates, increased wound drainage, and higher hospitalisation costs. Univariate analyses identified female sex, lower preoperative Hb levels, greater blood loss, higher intraoperative infusion volumes, and greater urine output as significant predictors. Multivariable regression demonstrated that lower preoperative Hb levels, posterior lumbar interbody fusion (PLIF) (vs. transforaminal lumbar interbody fusion (TLIF)), increased intraoperative blood loss, greater intraoperative infusion volume, and absence of hyperlipidemia independently predicted postoperative Hb < 80 g/L. Compared with the original model’s cohort, our patients exhibited higher BMI, lower preoperative Hb, higher platelet counts, significantly longer operative times, and substantially lower intraoperative blood loss—largely attributable to widespread adoption of minimally invasive/endoscopic TLIF (51.7%). External validation demonstrated moderate discrimination, with an AUC of 0.796. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 0.4667, 0.8318, 0.1373, and 0.9645, respectively. Calibration remained good, and decision-curve analysis indicated meaningful utility for ruling out low-risk patients.
conclusionPostoperative anaemia after lumbar interbody fusion is influenced by preoperative hematologic status, surgical technique, and intraoperative management. The original nomogram showed limited PPV but retained good calibration and demonstrated its primary clinical utility in ruling out patients at low risk of postoperative hemoglobin < 80 g/L. Given the low event prevalence, lower probability thresholds may be more clinically suitable for screening purposes, whereas higher thresholds may support efficient exclusion of low-risk individuals. Thus, the model should be regarded primarily as a risk-exclusion and screening tool, rather than a definitive predictor of high-risk cases. Differences in surgical practice—particularly the high use of minimally invasive/endoscopic TLIF—significantly affected model transportability, highlighting the need for recalibration or development of updated prediction tools in larger, multicenter cohorts.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.