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Failure-mode index

Search what already failed

A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.

20211 results in Negative / Null Result Report · page 113 of 674

Negative / Null Result Report

Bystander Intervention Efficacy to Reduce Teen Dating Violence Among High School Youth Who Did and Did Not Witness Parental Partner Violence: A Path Analysis of A Cluster RCT

Annelise Mennicke, Heather M. Bush, Candace J. Brancato et al. · 2021 · Journal of Family Violence

Abstract Youth who witness parental intimate partner violence (IPV) are at increased risk of teen dating violence (DV). This analysis of secondary data investigated whether a bystander intervention program, Green Dot, was effective at…

View details →DOI: 10.1007/s10896-021-00297-yCited by 18
Negative / Null Result ReportOpen accessMedicine

Current potential therapeutics of amyotrophic lateral sclerosis

Lijun Lu, Youqing Deng, Renshi Xu · 2024 · Frontiers in Neurology

Amyotrophic lateral sclerosis (ALS) is a debilitating motor neurological disorder for which there is still no cure. The disease seriously jeopardizes the health and lifespan of adult populations. The authors extensively retrieved the current literature about clinical and experimental ALS treatments. Based on them, this review primarily focused on summarizing the current potential clinical usage and trialing therapeutics of ALS. Currently, the clinical ALS treatments have focused primarily on relieving symptoms to improve the quality of life yet. There are a number of therapeutic approaches suc

View details →DOI: 10.3389/fneur.2024.1402962Cited by 18
Negative / Null Result ReportOpen accessImmunology and Microbiology

Significant Differences in RNA Structure Destabilization by HIV-1 Gag∆p6 and NCp7 Proteins

Micah J. McCauley, Ioulia Rouzina, Jasmine Li et al. · 2020 · Viruses

Retroviral nucleocapsid (NC) proteins are nucleic acid chaperones that play distinct roles in the viral life cycle. During reverse transcription, HIV-1 NC facilitates the rearrangement of nucleic acid secondary structures, allowing the transactivation response (TAR) RNA hairpin to be transiently destabilized and annealed to a complementary RNA hairpin. In contrast, during viral assembly, NC, as a domain of the group-specific antigen (Gag) polyprotein, binds the genomic RNA and facilitates packaging into new virions. It is not clear how the same protein, alone or as part of Gag, performs such d

View details →DOI: 10.3390/v12050484Cited by 18
Negative / Null Result ReportOpen accessMedicine

Cocultures of Mesenchymal Stem Cells and Endothelial Cells As Organotypic Models of Prostate Cancer Metastasis

Mark Seow Khoon Chong, Jing Lim, Junwei Goh et al. · 2014 · Molecular Pharmaceutics

In spite of recognized limitations in capturing species-specific responses and high costs, rodent models remain commonly used in prostate cancer metastasis research, due largely to the lack of available alternatives. We aim to develop an…

View details →DOI: 10.1021/mp500141bCited by 18
Negative / Null Result ReportOpen accessNeuroscience

Phase 1/2 study of epacadostat in combination with durvalumab in patients with metastatic solid tumors

Aung Naing, Alain P. Algazi, Gerald S. Falchook et al. · 2022 · Cancer

BACKGROUND: Targeting programmed cell death protein 1 (PD-1) and indoleamine 2,3-dioxygenase (IDO1) pathways is an appealing option for cancer treatment. METHODS: The open-label, phase 1/2 ECHO-203 study evaluated the safety, tolerability,…

View details →DOI: 10.1002/cncr.34512Cited by 18
Negative / Null Result Report

Fresh‐frozen plasma transfusion did not reduce 30‐day mortality in patients undergoing cardiopulmonary bypass cardiac surgery with excessive bleeding: the PLASMACARD multicenter cohort study

Adélaïde Doussau, Paul Perez, Maryse Puntous et al. · 2013 · Transfusion

Background During on‐pump cardiac surgery, hemorrhagic complications occur frequently. Fresh‐frozen plasma ( FFP ) is widely transfused to provide coagulation factors. Yet, no randomized clinical trial has demonstrated its benefits on…

View details →DOI: 10.1111/trf.12422Cited by 18
Negative / Null Result ReportOpen accessMedicine

Uric acid as a predictor of endothelial dysfunction in patients with metabolic syndrome

Charanpreet Singh, Sanjay Jain, Veena Dhawan et al. · 2020 · Archives of Endocrinology and Metabolism

OBJECTIVE: We conducted a study to examine the association of endothelial dysfunction and oxidative stress with uric acid levels in patients of metabolic syndrome. METHODS: One hundred and two patients of Metabolic Syndrome (International Diabetes Federation definition) were included in the study. Anthropometric measurements, serum uric acid levels, fasting blood sugar levels and lipid levels, as well as malondialdehyde and reactive nitrogen intermediates were measured after an 8-hour fasting period. Flow mediated vasodilation (FMD) of the brachial artery was measured and endothelial dysfuncti

View details →DOI: 10.20945/2359-3997000000298Cited by 18
Negative / Null Result ReportOpen accessEnvironmental Science

A global assessment of BirdNET performance: Differences among continents, biomes, and species

David Funosas, Esther Sebastián‐González, Jon Morant et al. · 2026 · Ecological Indicators

Abstract Recent advances in machine learning have accelerated automated species detection across diverse ecological domains, enabling large-scale, non-invasive monitoring of biodiversity. In ornithological research, coupling passive acoustic monitoring (PAM) with rapidly-developing novel identification tools such as BirdNET—a deep learning–based sound recognition algorithm—offers new opportunities for surveying vocally active bird communities. Yet, BirdNET performance across diverse ecological and biogeographic contexts remains to be quantified. Here, we present the first worldwide evaluation

View details →DOI: 10.1016/j.ecolind.2025.114550Cited by 18
Negative / Null Result ReportOpen accessMedicine

Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT

Akshay Khunte, Veer Sangha, Evangelos K. Oikonomou et al. · 2026 · European Heart Journal - Digital Health

ABSTRACT Background Timely and accurate assessment of electrocardiograms (ECGs) is crucial for diagnosing, triaging, and clinically managing patients. Current workflows rely on computerized ECG interpretation tools built into ECG signal…

View details →DOI: 10.1093/ehjdh/ztag031Cited by 18
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Global selection on insect antipredator coloration

Iliana Medina, Alice Exnerová, Klára Daňková et al. · 2025 · Science

Natural selection has repeatedly led to the evolution of two alternative antipredator color strategies-camouflage to avoid detection and aposematism to advertise unprofitability-but we lack understanding of how ecological context favors one strategy over the other. We conducted a globally replicated predation experiment at 21 sites on six continents to test how predator community, prey community, and visual environment influenced the predation risk of 15,018 artificial paper "moth" prey with cryptic or warning coloration. Results indicated that aposematic strategies fare better in environments

View details →DOI: 10.1126/science.adr7368Cited by 18
Negative / Null Result ReportOpen accessComputer Science

Multimodal foundation models exploit text to make medical image predictions

Thomas A. Buckley, James A. Diao, Cam N. Srivastava et al. · 2026 · Nature Communications

Multimodal foundation models have shown compelling but conflicting performance in medical image interpretation. However, the ways in which these models integrate and prioritize different data modalities, including images and text, remain…

View details →DOI: 10.1038/s41467-026-74207-5Cited by 18
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Targeting mitochondrial transporters and metabolic reprogramming for disease treatment

Mboneye Anselme, Huafeng He, Chengyang Lai et al. · 2025 · Journal of Translational Medicine

In the realm of cellular biochemistry, mitochondria have been increasingly recognized for their critical role in both cellular metabolism and the etiology of various diseases. Mitochondrial transporters (MTs) are essential for maintaining…

View details →DOI: 10.1186/s12967-025-06976-4Cited by 18
Negative / Null Result ReportSocial Sciences

Revisiting a Criminological Classic: The Cycle of Violence

Wesley Myers, Kristin M. Lloyd, Jillian J. Turanovic et al. · 2018 · Journal of Contemporary Criminal Justice

There is a growing “replication crisis” in the social and behavioral sciences, where original research across a wide array of substantive areas has failed to replicate when conducted by others. This problem highlights the importance of…

View details →DOI: 10.1177/1043986218770003Cited by 18
Negative / Null Result ReportOpen accessNeuroscience

When Science Replaces Religion: Science as a Secular Authority Bolsters Moral Sensitivity

Onurcan Yılmaz, Hasan G. Bahçekapılı · 2015 · PLoS ONE

Scientific and religious thinking compete with each other on several levels. For example, activating one generally weakens the other. Since priming religion is known to increase moral behaviour and moral sensitivity, priming science might be expected to have the opposite effect. However, it was recently demonstrated that, on the contrary, science priming increases moral sensitivity as well. The present set of studies sought to replicate this effect and test two explanations for it. Study 1 used a sentence unscrambling task for implicitly priming the concept of science but failed to replicate i

View details →DOI: 10.1371/journal.pone.0137499Cited by 18
Negative / Null Result ReportOpen accessComputer Science

What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach

Michael S. Vitevitch, Gavin J. D. Mullin · 2021 · Brain Sciences

Cognitive network science is an emerging approach that uses the mathematical tools of network science to map the relationships among representations stored in memory to examine how that structure might influence processing. In the present study, we used computer simulations to compare the ability of a well-known model of spoken word recognition, TRACE, to the ability of a cognitive network model with a spreading activation-like process to account for the findings from several previously published behavioral studies of language processing. In all four simulations, the TRACE model failed to retr

View details →DOI: 10.3390/brainsci11121628Cited by 18
Negative / Null Result ReportOpen accessEngineering

Hybrid AI–Taguchi–ANOVA Approach for Thermographic Monitoring of Electronic Devices

Filippo Laganà, Danilo Pratticò, Marco F. Quattrone et al. · 2026 · Eng—Advances in Engineering

Defects in printed circuit boards (PCBs), if not detected promptly, may persist over time until they cause the failure of critical components. Traditional monitoring methods, which are limited to simulations or superficial measurements, obstruct predictive maintenance and real-time fault detection. To address these issues and enhance real-time diagnostics of thermal anomalies in PCBs, this work proposes an integrated system that combines infrared thermography (IRT), artificial intelligence (AI) algorithms, and Taguchi–ANOVA statistical techniques. IR thermography was employed to identify therm

View details →DOI: 10.3390/eng7010028Cited by 18
Negative / Null Result ReportOpen accessMedicine

Evaluation of a Clinical Decision Support System for Imaging Requests

Stijntje Dijk, Claudia Wollny, Jörg Barkhausen et al. · 2025 · JAMA

Importance: Given the widespread use of medical imaging, evaluating the effectiveness of interventions to improve appropriateness is crucial for optimizing health care resources and patient outcomes. Objective: To assess the effects of…

View details →DOI: 10.1001/jama.2024.27853Cited by 18
Negative / Null Result ReportOpen accessMedicine

A short training program improves the accuracy of portion-size estimates in future dietitians

Marta Arroyo‐Izaga, Concepción Martínez de la Pera, Laura Ansotegui et al. · 2026 · Archivos Latinoamericanos de Nutrición

The objective of this study was to determine whether a short training program, using real foods, would decreased their portion-size estimation errors after training. 90 student volunteers (20.18+/-0.44 y old) of the University of the…

View details →DOI: 10.37527/2007.57.2.008Cited by 18
Negative / Null Result ReportOpen accessMedicine

Microbial Biofilms as Barriers to Chronic Wound Healing: Diagnostic Challenges and Therapeutic Advances

Yasir Almuhanna · 2025 · Journal of Clinical Medicine

Wound healing is a complex and multistage process that incorporates precise cellular and molecular coordination. The presence of biofilms in chronic wounds adversely affects the wound healing process, as it prolongs the closure of the wound, thus sustaining chronic inflammation. Current data suggest that biofilms are present in almost all chronic wounds, which leads to significant challenges in diagnosis and treatment. Traditional detection methods, such as cultures and light microscopy, often fail to detect biofilms; however, sophisticated molecular and imaging techniques are constrained by t

View details →DOI: 10.3390/jcm14228121Cited by 18
Negative / Null Result ReportOpen accessSocial Sciences

Labeling AI-generated media online

Chloe Wittenberg, Ziv Epstein, Gabrielle Péloquin-Skulski et al. · 2025 · PNAS Nexus

Abstract Recent advancements in generative AI have raised widespread concern about the use of this technology to spread audio and visual misinformation. In response, there has been a major push among policymakers and technology companies to label AI-generated media appearing online. It remains unclear, however, what types of labels are most effective for this purpose. Here, we evaluate two (potentially complementary) strategies for labeling AI-generated content online: (i) a process-based approach, aimed at clarifying how content was made and (ii) a harm-based approach, aimed at highlighting c

View details →DOI: 10.1093/pnasnexus/pgaf170Cited by 18
Negative / Null Result ReportOpen accessSocial Sciences

More social, less material, more influenced by family ties: Why young women join political parties

Sofia Ammassari, Duncan McDonnell, Annika Werner et al. · 2026 · European Journal of Political Research

Abstract Do young women and men join political parties for different reasons? To investigate, we theorize the following: first, women will be more attracted by social incentives and men by material ones, while purposive incentives will be…

View details →DOI: 10.1017/s1475676526100978Cited by 17
Negative / Null Result ReportOpen accessPharmacology, Toxicology and Pharmaceutics

Innovative dual-functional hybrid cationic PEGylated proniosomes as a smart nano-platform for Boosted vaginal delivery: multi-level in-vitro, ex-vivo, microbiological, and in-vivo studies

Sadek Ahmed, Osama Saher, Heba Attia et al. · 2026 · Frontiers in Pharmacology

Introduction: Vaginal candidiasis remains a recurrent fungal infection affecting millions of women worldwide, necessitating innovative local delivery systems to overcome poor drug solubility and mucosal barriers. This study introduces Dual-Functional Hybrid Cationic PEGylated Proniosomes (DHCPP) as a smart nano-platform designed to boost the vaginal delivery of Fenticonazole Nitrate (FTN). Methods: DHCPP systems were fabricated via the coacervation phase separation method and optimized using a full 2 3 factorial design, achieving a high desirability value of 0.931. The optimized DHCPP exhibite

View details →DOI: 10.3389/fphar.2025.1746918Cited by 17
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Molecular mechanisms underlying the lifespan and healthspan benefits of dietary restriction across species

Jialin Fan, Yunpeng Xu · 2026 · Frontiers in Genetics

Dietary restriction (DR), defined as reduced caloric intake or selective limitation of specific nutrients without malnutrition, is one of the most robust interventions known to extend lifespan and healthspan across species. Studies from yeast to mammals demonstrate that DR elicits conserved genetic, transcriptional, and epigenetic programs that promote cellular maintenance and stress resistance. At the molecular level, DR engages evolutionarily conserved nutrient-sensing pathways, including insulin/IGF-1 signaling (IIS), the mechanistic target of rapamycin (mTOR), AMP-activated protein kinase

View details →DOI: 10.3389/fgene.2026.1771707Cited by 17
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Stride Velocity 95 th Centile Detects Decline in Ambulatory Function Over Shorter Intervals than the 6-Minute Walk Test or North Star Ambulatory Assessment in Duchenne Muscular Dystrophy

Michael Rabbia, Maitea Guridi Ormazabal, Hannah Staunton et al. · 2024 · Journal of Neuromuscular Diseases

Background: Stride Velocity 95th Centile (SV95C) is the first wearable device-derived clinical outcome assessment (COA) to receive European Medicines Agency (EMA) qualification as a primary endpoint in ambulant patients with Duchenne muscular dystrophy (DMD) aged ≥4 years. Objective: To compare SV95C-in its first-ever clinical trial application as a secondary endpoint-with established motor function COAs used in the trial (Four-Stair Climb [4SC] velocity, North Star Ambulatory Assessment [NSAA], and Six-Minute Walk Distance [6MWD]). Methods: SV95C was a secondary endpoint in a subset (n = 47)

View details →DOI: 10.3233/jnd-230188Cited by 17
Negative / Null Result ReportOpen accessMedicine

Liver exerkine reverses aging- and Alzheimer’s-related memory loss via vasculature

Gregor Bieri, Karishma J.B. Pratt, Yasuhiro Fuseya et al. · 2026 · Cell

Blood factors transfer the benefits of exercise to the aged brain independent of physical activity. Here, we show that the liver-derived exercise factor (exerkine) glycosylphosphatidylinositol (GPI)-specific phospholipase D1 (GPLD1), a GPI-degrading enzyme, reverses aging- and Alzheimer's-related memory loss by targeting the brain vasculature. GPLD1 has the potential to cleave over 100 putative GPI-anchored proteins, necessitating the identification of downstream targets that mediate cognitive rejuvenation for translational application. We identified GPI-anchored tissue-nonspecific alkaline ph

View details →DOI: 10.1016/j.cell.2026.01.024Cited by 17
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Pancreatic cancer: molecular pathogenesis and emerging therapeutic strategies

Enrique Rozengurt, G. Eibl · 2026 · Signal Transduction and Targeted Therapy

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease for which there is no effective treatment. A deep understanding of the mechanisms underlying the molecular pathogenesis, signaling pathways and risk factors leading to PDAC is of paramount importance for identifying novel targets, prognostic markers, preventive strategies, and signature markers for use in specific and personalized therapeutic procedures. Activating somatic mutations in the KRAS oncogene play a critical role in PDAC initiation and maintenance. Here, we highlight the complex interplay between KRAS signaling, the tr

View details →DOI: 10.1038/s41392-025-02499-yCited by 17
Negative / Null Result ReportOpen accessMedicine

Brain age gap as a predictive biomarker that links aging, lifestyle, and neuropsychiatric health

Ruixia Zhang, Yi Fan, Hongjing Mao et al. · 2025 · Communications Medicine

The brain age gap (BAG) is a neuroimaging-derived marker of accelerated brain aging. However, its clinical application faces challenges due to model inaccuracies and unclear links to disease mechanisms. This study investigates the clinical…

View details →DOI: 10.1038/s43856-025-01100-5Cited by 17
Negative / Null Result ReportOpen accessMedicine

Computerized diagnostic decision support systems – a comparative performance study of Isabel Pro vs. ChatGPT4

Joe M. Bridges · 2024 · Diagnosis

OBJECTIVES: Validate the diagnostic accuracy of the Artificial Intelligence Large Language Model ChatGPT4 by comparing diagnosis lists produced by ChatGPT4 to Isabel Pro. METHODS: This study used 201 cases, comparing ChatGPT4 to Isabel Pro. Systems inputs were identical. Mean Reciprocal Rank (MRR) compares the correct diagnosis's rank between systems. Isabel Pro ranks by the frequency with which the symptoms appear in the reference dataset. The mechanism ChatGPT4 uses to rank the diagnoses is unknown. A Wilcoxon Signed Rank Sum test failed to reject the null hypothesis. RESULTS: Both systems p

View details →DOI: 10.1515/dx-2024-0033Cited by 17
Negative / Null Result ReportOpen accessComputer Science

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers

Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh et al. · 2026 · ACM Transactions on Software Engineering and Methodology

Although Foundation Models (FMs), such as GPT-4, are increasingly used in domains like finance and software engineering, reliance on textual interfaces limits these models’ real-world interaction. To address this, FM providers introduced…

View details →DOI: 10.1145/3814959Cited by 17