Evidence map›Paper›PMID 42560502›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Multimodal model predicts screw loosening at user-specified postoperative time points after single-level lumbar interbody fusion.

Satoru Tanioka, Orhun Utku Aydin, Adam Hilbert, Takahiro Miyazaki, Atsushi Yamamoto, Munenari Ikezawa, Hirofumi Nishikawa, Masashi Fujimoto, Fujimaro Ishida, Yusuke Kamei and 5 more

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

15 authors.

Satoru TaniokaCharité Universitätsmedizin Berlin, Berlin, Germany. satoru.tanioka.ns@icloud.com.ORCID https://orcid.org/0000-0002-4678-6163
Orhun Utku AydinCharité Universitätsmedizin Berlin, Berlin, Germany.
Adam HilbertCharité Universitätsmedizin Berlin, Berlin, Germany.
Takahiro MiyazakiMie University Graduate School of Medicine, Tsu, Japan.
Atsushi YamamotoKuwana City Medical Center, Kuwana, Japan.
Munenari IkezawaMie Chuo Medical Center, Hisai, Japan.
Hirofumi NishikawaMie University Graduate School of Medicine, Tsu, Japan.
Masashi FujimotoIse Red Cross Hospital, Ise, Japan.
Fujimaro IshidaIse Red Cross Hospital, Ise, Japan.
Yusuke KameiMie Prefectural General Medical Center, Oaza Hinaga, Yokkaichi, Japan.
Koichiro YoshidaYachiyo Hospital, Anjo, Japan.
Motoi ShodaYachiyo Hospital, Anjo, Japan.
Hidenori SuzukiMie University Graduate School of Medicine, Tsu, Japan.
Masaki MizunoSuzuka Kaisei Hospital, Suzuka, Japan.
Dietmar FreyCharité Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a model that predicts screw loosening at user-specified postoperative time points after lumbar fusion.

methodsWe retrospectively enrolled patients who underwent single-level lumbar interbody fusion at five hospitals: three hospitals for training and two for external testing. Preoperative CT images, clinical characteristics, and postoperative follow-up CT images were collected. Many patients had multiple follow-up CT scans, with screw loosening evaluated for each. Multimodal models were developed using preoperative CT images and the day of the follow-up CT scans as inputs and the occurrence of screw loosening on that day as the label. Three types of preoperative CT images were prepared and used for training: original, whole vertebra, and vertebral body. The results were evaluated in testing, and the best model with the highest AUC among the three was selected. Additionally, clinical characteristics were incorporated as an additional input, and the result was also evaluated.

resultsA total of 212 patients (mean age, 66.5 ± 11.3, 123 male) with 552 follow-up CT scans were included: 412 follow-ups for training and validation, and 140 follow-ups for testing. The model using vertebral body showed the best performance, with an AUC of 0.823 (95% CI, 0.737-0.895) and a sensitivity of 0.914 (95% CI, 0.769-0.999). When clinical characteristics were added to the input, no improvement was observed, with an AUC of 0.721 (95% CI, 0.621-0.817).

conclusionThe model predicted screw loosening at any postoperative time point with high AUC and sensitivity and has the potential to enable more thorough patient management.

Indexed as

Convolutional networkLooseningLumbar fusionPedicle screwPrediction

Identifiers

PMID42560502

What Socratic holds

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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 Socratic graph.